python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
|---|---|---|
RadFM-main | Quick_demo/Model/RadFM/__init__.py | |
"""
Code modified from DETR tranformer:
https://github.com/facebookresearch/detr
Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
import copy
from typing import Optional, List
import pickle as cp
import torch
import torch.nn.functional as F
from torch import nn, Tensor
class TransformerDecod... | RadFM-main | Quick_demo/Model/RadFM/transformer_decoder.py |
from torch import nn
from transformers.models.llama import LlamaForCausalLM
from transformers import AutoConfig
from .my_embedding_layer import MyEmbedding
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
import tqdm.auto as tqdm
import torch.nn as nn
import torch
from torch.utils.checkpoint import che... | RadFM-main | Quick_demo/Model/RadFM/multimodality_model.py |
from .blocks import ModifiedResNet,PMC_CLIP_cfg
import torch
from torchvision import transforms
from PIL import Image
import torch.nn as nn
def extend_instance(obj, mixin):
"""Apply mixins to a class instance after creation"""
base_cls = obj.__class__
base_cls_name = obj.__class__.__name__
obj.__class__... | RadFM-main | Quick_demo/Model/RadFM/utils.py |
import torch
from torch import nn
from einops import rearrange, repeat
from einops.layers.torch import Rearrange
from .position_encoding import PositionEmbeddingLearned3d
# helpers
def pair(t):
return t if isinstance(t, tuple) else (t, t)
# classes
class PreNorm(nn.Module):
def __init__(self, dim, fn):
... | RadFM-main | Quick_demo/Model/RadFM/vit_3d.py |
from collections import OrderedDict
from typing import Tuple, Union, Callable, Optional
import torch
import torch.nn.functional as F
from torch import nn
from torch.utils.checkpoint import checkpoint
class PMC_CLIP_cfg:
backbone: str = 'ModifiedRN50' # ['RN50', 'ModifiedRN50', 'MAE']
layers: Union[Tuple[int,... | RadFM-main | Quick_demo/Model/RadFM/blocks.py |
"""
Taken from https://github.com/lucidrains/flamingo-pytorch
"""
import torch
from einops import rearrange, repeat
from einops_exts import rearrange_many
from torch import einsum, nn
def exists(val):
return val is not None
def FeedForward(dim, mult=4):
inner_dim = int(dim * mult)
return nn.Sequential(... | RadFM-main | Quick_demo/Model/RadFM/helpers.py |
import tqdm.auto as tqdm
import torch.nn.functional as F
from typing import Optional, Dict, Sequence
from typing import List, Optional, Tuple, Union
import transformers
from My_Trainer.trainer import Trainer
from dataclasses import dataclass, field
from Dataset.multi_dataset_test import multi_dataset
from Model.RadFM.m... | RadFM-main | src/test.py |
import tqdm.auto as tqdm
import torch.nn.functional as F
from typing import Optional, Dict, Sequence
from typing import List, Optional, Tuple, Union
import transformers
from My_Trainer.trainer import Trainer
from dataclasses import dataclass, field
from Dataset.multi_dataset import multi_dataset
from Model.RadFM.multim... | RadFM-main | src/train.py |
import torch.distributed as dist
import math
from torch.utils.data.sampler import Sampler
from torch.utils.data.sampler import Sampler
from torch.utils.data import DataLoader
import random
import torch
from New_Dataset.multi_dataset import multi_dataset
def make_batch(index_list, batch_size, drop_last):
if drop_... | RadFM-main | src/datasampler.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import math
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokeniz... | RadFM-main | src/Dataset/multi_dataset_test.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import math
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokeniz... | RadFM-main | src/Dataset/multi_dataset_test_for_close.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import math
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokeniz... | RadFM-main | src/Dataset/multi_dataset.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokenizer
from torc... | RadFM-main | src/Dataset/dataset/paper_inline.py |
import csv
import json
import logging
import os
import re
import difflib
import sys
import torch
import random
from abc import abstractmethod
from itertools import islice
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
from collections.abc import Mapping
from torch.utils.data import ... | RadFM-main | src/Dataset/dataset/binary.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokenizer
from torc... | RadFM-main | src/Dataset/dataset/MedPix_dataset.py |
from .radiopaedia import RadioVQA_Dataset,Radio_Modality_Dataset,Radiofeatures_Dataset,RadioCaption_Dataset
from .binary import Binary_Dataset
from .chestxray import ChestXray_Dataset
from .pmcvqa import PMCVQA_Dataset
from .pmcoa import PMCOA_Dataset
from .paper_inline import Paper_Inline_dataset
from .case_report imp... | RadFM-main | src/Dataset/dataset/__init__.py |
import csv
import json
import logging
import os
import re
import difflib
import sys
import torch
import random
from abc import abstractmethod
from itertools import islice
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
from collections.abc import Mapping
from torch.utils.data import ... | RadFM-main | src/Dataset/dataset/pmcoa.py |
import csv
import json
import logging
import os
import re
import difflib
import sys
import torch
import random
from abc import abstractmethod
from itertools import islice
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
from collections.abc import Mapping
from torch.utils.data import ... | RadFM-main | src/Dataset/dataset/pmcvqa.py |
from torch.utils.data import Dataset
import numpy as np
import transformers
import pandas as pd
import copy
import random
import os
import numpy as np
import tqdm
import torch
import json
from PIL import Image
import torchvision
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokenizer
from torc... | RadFM-main | src/Dataset/dataset/case_report.py |
import csv
import json
import logging
import os
import re
import difflib
import sys
import cv2
import torch
import random
from abc import abstractmethod
from itertools import islice
from scipy import ndimage
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
from collections.abc import ... | RadFM-main | src/Dataset/dataset/radiopaedia.py |
import csv
import json
import logging
import os
import re
import difflib
import sys
import torch
import random
from abc import abstractmethod
from itertools import islice
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
from collections.abc import Mapping
from torch.utils.data import ... | RadFM-main | src/Dataset/dataset/chestxray.py |
import torch.nn as nn
import torch.nn.functional as F
import torch
from .helpers import PerceiverResampler
from .utils import get_visual_encoder
from einops import rearrange, repeat
from einops_exts import rearrange_many
import torchvision
from .vit_3d import ViT
from einops.layers.torch import Rearrange
from .tra... | RadFM-main | src/Model/RadFM/my_embedding_layer.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Various positional encodings for the transformer.
"""
import math
import torch
from torch import nn
from einops.layers.torch import Rearrange
from einops import rearrange, repeat
class PositionEmbeddingSine(nn.Module):
"""
This is a mor... | RadFM-main | src/Model/RadFM/position_encoding.py |
RadFM-main | src/Model/RadFM/__init__.py | |
"""
Code modified from DETR tranformer:
https://github.com/facebookresearch/detr
Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
import copy
from typing import Optional, List
import pickle as cp
import torch
import torch.nn.functional as F
from torch import nn, Tensor
class TransformerDecod... | RadFM-main | src/Model/RadFM/transformer_decoder.py |
from torch import nn
from transformers.models.llama import LlamaForCausalLM
from .my_embedding_layer import MyEmbedding
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
import tqdm.auto as tqdm
import torch.nn as nn
import torch
from torch.utils.checkpoint import checkpoint
from torch.autograd import V... | RadFM-main | src/Model/RadFM/multimodality_model.py |
from .blocks import ModifiedResNet,PMC_CLIP_cfg
import torch
from torchvision import transforms
from PIL import Image
import torch.nn as nn
def extend_instance(obj, mixin):
"""Apply mixins to a class instance after creation"""
base_cls = obj.__class__
base_cls_name = obj.__class__.__name__
obj.__class__... | RadFM-main | src/Model/RadFM/utils.py |
import torch
from torch import nn
from einops import rearrange, repeat
from einops.layers.torch import Rearrange
from .position_encoding import PositionEmbeddingLearned3d
# helpers
def pair(t):
return t if isinstance(t, tuple) else (t, t)
# classes
class PreNorm(nn.Module):
def __init__(self, dim, fn):
... | RadFM-main | src/Model/RadFM/vit_3d.py |
from collections import OrderedDict
from typing import Tuple, Union, Callable, Optional
import torch
import torch.nn.functional as F
from torch import nn
from torch.utils.checkpoint import checkpoint
class PMC_CLIP_cfg:
backbone: str = 'ModifiedRN50' # ['RN50', 'ModifiedRN50', 'MAE']
layers: Union[Tuple[int,... | RadFM-main | src/Model/RadFM/blocks.py |
"""
Taken from https://github.com/lucidrains/flamingo-pytorch
"""
import torch
from einops import rearrange, repeat
from einops_exts import rearrange_many
from torch import einsum, nn
def exists(val):
return val is not None
def FeedForward(dim, mult=4):
inner_dim = int(dim * mult)
return nn.Sequential(... | RadFM-main | src/Model/RadFM/helpers.py |
# coding=utf-8
# Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | RadFM-main | src/My_Trainer/trainer.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | __init__.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/configurations.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/main.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/decoder.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/factor_eval.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/plotting.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/__init__.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/refinement.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/distributions.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/networks.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/utils.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/iodine.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | iodine/modules/data.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/config.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/eval_ucf101.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/utils/checkpoint.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/utils/ucf101_dataset.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/mm_embeddings.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/tsm_resnet_test.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/tsm_utils_test.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/tsm_utils.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/tsm_resnet.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/s3d.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/types.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/resnet.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/normalization.py |
# Copyright 2020 DeepMind Technologies Limited.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | deepmind-research-master | mmv/models/s3d_test.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/eval_metrics.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/__init__.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/generators.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/reader.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/experiment.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/utils.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/losses.py |
# Copyright 2019 DeepMind Technologies Limited and Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | deepmind-research-master | scratchgan/discriminator_nets.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/reading_utils.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/render_rollout.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/learned_simulator.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/train.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/connectivity_utils.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/noise_utils.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/model_demo.py |
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | deepmind-research-master | learning_to_simulate/graph_network.py |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | deepmind-research-master | sketchy/metadata_schema.py |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | deepmind-research-master | sketchy/reward_example.py |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | deepmind-research-master | sketchy/__init__.py |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | deepmind-research-master | sketchy/dataset_example.py |
# Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | deepmind-research-master | sketchy/sketchy.py |
# Copyright 2018 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/predicates.py |
# Copyright 2018 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/predicate_task.py |
# Copyright 2021 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/__init__.py |
# Copyright 2020 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/setup.py |
# Copyright 2020 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/predicate_task_test.py |
# Copyright 2020 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/explore.py |
# Copyright 2019 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/task_examples.py |
# Copyright 2018 Deepmind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | deepmind-research-master | box_arrangement/dmlab_assets.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/fixup_resnet.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/experiment_nf_regnets.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/skipinit_resnet.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/nf_regnet.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/test.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/agc_optax.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/dataset.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/experiment.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/experiment_nfnets.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/resnet.py |
# Copyright 2021 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | deepmind-research-master | nfnets/utils.py |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | deepmind-research-master | nfnets/autoaugment.py |
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