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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ewd/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.696552 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ewd/ewd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.850038 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.872589 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp/exp.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.899682 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_edit/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.907462 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_edit/cython_files/setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.911792 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_edit/exp_edit.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.921213 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_edit/mersenne.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:59.966721 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_gumbel/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.011099 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/exp_gumbel/exp_gumbel.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.265764 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ie/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.272376 | from .ie import IE
from .ie import IEConfig
from .model import (
Classifier,
Unified_Feature_Translator
)
from .navigator import Navigator |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ie/calculate_auroc_tpr.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.447297 | import os
import json
from copy import deepcopy
import pandas as pd
import sklearn.metrics as metrics
import numpy as np
def get_roc_aur(human_z, machine_z):
assert len(human_z) == len(machine_z)
baseline_z_scores = np.array(human_z)
watermark_z_scores = np.array(machine_z)
all_scores = np.concatenat... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ie/ie.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.460426 | import os
import torch
from math import sqrt
from transformers import AutoModel, AutoTokenizer
from functools import partial
from utils.utils import load_config_file
from utils.transformers_config import TransformersConfig
from transformers import LogitsProcessor, LogitsProcessorList
from .model import Classifier, Unif... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ie/navigator.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.482804 | import json
import numpy as np
import pandas as pd
from rich import print
from .calculate_auroc_tpr import get_roc_aur, get_tpr
class Navigator:
def __init__(self, task_name, beam_size, entropy_list, base_evaluation_file, base_human_file, direction='right'):
self.task_name = task_name
self.beam_si... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/ie/model.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.484270 | import torch
import torch.nn as nn
from transformers import AutoTokenizer
import torch.nn.functional as F
class Classifier(nn.Module):
def __init__(self, input_dim, *args, **kwargs):
super().__init__()
self.fc1 = nn.Linear(input_dim, 512)
self.fc2 = nn.Linear(512, 256)
... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/its_edit/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.500611 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
THU-BPM/MarkLLM | https://github.com/THU-BPM/MarkLLM | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | watermark/its_edit/cython_files/setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:00.530811 | # Copyright 2024 THU-BPM MarkLLM.
#
# 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 agreed to in writ... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/parts/memory.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.887940 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/algorithms/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.889482 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/algorithms/ppo/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.895901 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.897814 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.900490 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/parts/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.902174 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/algorithms/ppo/utility.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.931337 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/algorithms/ppo/ppo.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.991317 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/parts/normalize.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:02.992273 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/parts/iterate_sequences.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.007122 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/configs.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.744433 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/attr_dict.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.745124 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/networks.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.747283 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.748365 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/utility.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.749420 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/train_ppo_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.782284 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/attr_dict_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.784197 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/scripts/visualize.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.791400 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:03.927712 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/batch_env.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.009502 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/in_graph_env.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.549101 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/in_graph_batch_env.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.550422 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/mock_environment.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.551566 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/count_weights_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.747513 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/mock_algorithm.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.749601 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/loop_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.750561 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/nested_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.751691 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/nested.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.798841 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/count_weights.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.808931 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/loop.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:04.951921 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/simulate_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:05.565875 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:05.771497 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/streaming_mean.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:05.771938 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/simulate.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:05.975861 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/wrappers_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:05.976428 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
google-research/batch-ppo | https://github.com/google-research/batch-ppo | null | null | null | null | 976 | null | null | apache-2.0 | null | null | null | null | null | null | null | agents/tools/wrappers.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:07.739737 | # Copyright 2017 The TensorFlow Agents Authors.
#
# 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 ag... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/node_classification/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.684365 | from openhgnn.dataset import generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
import torch as th
category = 'author'
meta_paths_dict = {'APA': [('author', 'author-paper', 'paper'), ('paper', 'rev_author-paper', 'author')]}
class MyNCDataset(DGLDataset)... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | docs/source/conf.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.685758 | import datetime
import doctest
import sphinx_rtd_theme
import openhgnn # build docs may error here
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.autosummary',
'sphinx.ext.doctest',
'sphinx.ext.intersphinx',
'sphinx.ext.mathjax',
'sphinx.ext.napoleon',
'sphinx.ext.viewcode',
'sphi... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/link_prediction/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.687065 | import torch as th
from openhgnn.dataset import generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
meta_paths_dict = {'APA': [('author', 'author-paper', 'paper'), ('paper', 'rev_author-paper', 'author')]}
target_link = [('author', 'author-paper', 'paper')]... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/knowledge_graph/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.688173 | import argparse
import dgl
import torch
from openhgnn import Experiment
from openhgnn.dataset import AsLinkPredictionDataset
from dataset import MyDataset, target_link
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='TransE', type=str, help='name of mo... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/graph_representation_learning/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.697780 | import argparse
from openhgnn import Experiment
from dataset import MyDataset
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='Metapath2vec', type=str, help='name of models')
parser.add_argument('--gpu', '-g', default='-1', type=int, help='-1 means... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/knowledge_graph/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.699535 | from openhgnn.dataset import generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
meta_paths_dict = {'APA': [('author', 'author-paper', 'paper'), ('paper', 'rev_author-paper', 'author')]}
target_link = [('author', 'author-paper', 'paper')]
class MyDataset(... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/link_prediction/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.700207 | import argparse
from openhgnn import Experiment
from openhgnn.dataset import AsLinkPredictionDataset
from dataset import MyLPDatasetWithPredEdges, target_link, target_link_r
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='RGCN', type=str, help='name o... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/link_prediction/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.702041 | import argparse
from openhgnn import Experiment
from openhgnn.dataset import AsLinkPredictionDataset
from dataset import MyLPDatasetWithPredEdges, target_link, target_link_r
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='RGCN', type=str, help='name o... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/knowledge_graph/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.728187 | import argparse
import dgl
import torch
from openhgnn import Experiment
from openhgnn.dataset import AsLinkPredictionDataset
from dataset import MyDataset, target_link
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='TransE', type=str, help='name of ... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/graph_representation_learning/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:10.729561 | from openhgnn.dataset import generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
meta_paths_dict = {'APA': [('author', 'author-paper', 'paper'), ('paper', 'rev_author-paper', 'author')]}
class MyDataset(DGLDataset):
def __init__(self):
super()... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/basic_usage/run_experiment.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.520707 | from openhgnn import Experiment
if __name__ == '__main__':
experiment = Experiment(model='RGCN', dataset='acm4GTN', task='node_classification', gpu=-1, lr=0.05, hidden_dim=64,
max_epoch=30, num_layers=3)
experiment.run()
|
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | main.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.521245 | # @Time : 2021/1/28
# @Author : Tianyu Zhao
# @Email : tyzhao@bupt.edu.cn
import argparse
from openhgnn.experiment import Experiment
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='GTN', type=str, help='name of models')
parser.add_argument('-... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/node_classification/train.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.523051 | import argparse
from openhgnn import Experiment
from openhgnn.dataset import AsNodeClassificationDataset
from dataset import MyNCDataset
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='RGCN', type=str, help='name of models')
parser.add_argument('-... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.705740 | from .models import *
from .dataset import *
from .layers import *
from .trainerflow import *
from .tasks import *
from .utils import *
from .sampler import *
from .experiment import *
|
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/customization/custom_node_classification_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.707118 | import torch as th
from openhgnn import Experiment
from openhgnn.dataset import AsNodeClassificationDataset, generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
from openhgnn.dataset import ACM4GTNDataset
category = 'author'
meta_paths_dict = {'APA': [('aut... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/customization/custom_model.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.708332 | import torch.nn as nn
import dgl.nn as dglnn
import torch.nn.functional as F
from openhgnn.dataset import IMDB4GTNDataset, HGBDataset
from openhgnn import Experiment
# Define a Heterograph Conv model. The example is from https://docs.dgl.ai/guide/training-node.html#heterogeneous-graph
class MyRGCN(nn.Module):
de... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | main_GUI.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.709694 | import tkinter as tk
from tkinter import ttk
from openhgnn.experiment import Experiment
import threading
import sys
# 定义一个类来捕获stdout并输出到tkinter的Text控件
class OutputRedirector:
def __init__(self, widget):
self.widget = widget
def write(self, text):
self.widget.insert(tk.END, text)
self.... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/applications/node_classification/inference.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.801594 | import argparse
from openhgnn import Experiment
from openhgnn.dataset import AsNodeClassificationDataset
from dataset import MyNCDataset
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', '-m', default='RGCN', type=str, help='name of models')
parser.add_argument('-... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/customization/custom_link_prediction_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:11.802979 | import torch as th
from openhgnn import Experiment
from openhgnn.dataset import AsLinkPredictionDataset, generate_random_hg
from dgl import transforms as T
from dgl import DGLHeteroGraph
from dgl.data import DGLDataset
from dgl.dataloading.negative_sampler import GlobalUniform
meta_paths_dict = {'APA': [('author', 'au... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/auto/hpo.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.151979 | from ..trainerflow import build_flow
import optuna
from ..utils import set_random_seed
def hpo_experiment(args, trainerflow, **kwargs):
logger = args.logger
tool = AutoML(args, trainerflow, n_trials=args.hpo_trials, search_space=args.hpo_search_space, logger=logger)
result = tool.run()
logger.info("[H... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/auto/hpo_space.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.154420 | def func_search(trial):
return {
"lr": trial.suggest_categorical("lr", [1e-3, 5e-3, 1e-2]),
"hidden_size": trial.suggest_categorical("hidden_size", [8, 16, 32]),
"dropout": trial.suggest_uniform("dropout", 0.0, 0.5),
'num_layers': trial.suggest_int('num_layers', 2, 3)
} |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/AbnormEventDetectionDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.284698 | import dgl
import os
import random
import torch
from dgl.data.utils import load_graphs, download, extract_archive
import torch as th
from . import BaseDataset, register_dataset
from tqdm import tqdm
@register_dataset('abnorm_event_detection')
class AbnormEventDetectionDataset(BaseDataset):
r"""
The class *Ab... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/AdapropI_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.295614 | import os
import torch
import numpy as np
from scipy.sparse import csr_matrix
from collections import defaultdict
import requests
import zipfile
import io
class AdapropIDataLoader:
def __init__(self, args):
self.args = args
self.dir = './data'
name1=self.args.dataset_name
name2=name... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/AdapropT_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.364514 | import io
import os
import torch
from scipy.sparse import csr_matrix
import numpy as np
from collections import defaultdict
import requests
import zipfile
class AdapropTDataLoader:
def __init__(self, args):
self.args = args
# self.task_dir = task_dir = args.data_path
# current_dir = os.get... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.375729 | import configparser
import re
import numpy as np
import torch as th
from .utils.activation import act_dict
import warnings
class Config(object):
def __init__(self, file_path, model, dataset, task, gpu):
conf = configparser.ConfigParser( )
try:
conf.read(file_path)
except:
... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/HGCLDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.399684 | import torch as t
from dgl.data import DGLDataset
from dgl.data.utils import download, extract_archive
from dgl.data.utils import load_graphs
import os
import numpy as np
import dgl
import pickle
class HGCLDataset(DGLDataset):
_prefix = 'https://s3.cn-north-1.amazonaws.com.cn/dgl-data/'
_urls = ... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/EdgeClassificationDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.408261 | import torch as th
from . import BaseDataset, register_dataset
from . import Mg2vecDataSet
@register_dataset('edge_classification')
class EdgeClassificationDataset(BaseDataset):
r"""
The class *EdgeClassificationDataset* is a base class for datasets which can be used in task *edge classification*.
... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/hyperparameter_optimization/hpo.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.486955 | from openhgnn import Experiment
def search_space(trial):
return {
"lr": trial.suggest_categorical("lr", [1e-3, 5e-3, 1e-2]),
"hidden_dim": trial.suggest_categorical("hidden_dim", [32, 64]),
"dropout": trial.suggest_uniform("dropout", 0.0, 0.5),
'num_layers': trial.suggest_int('num_... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/HypergraphDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.714913 |
import pickle
import os
from openhgnn.dataset import register_dataset, BaseDataset
import numpy as np
import copy
from torch.utils.data import Dataset
from scipy.sparse import vstack as s_vstack
from scipy.sparse import csr_matrix
from dgl.data.utils import download, extract_archive
class HgraphDataset(Dataset):
... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/Ingram_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.788360 | import numpy as np
import random
import torch
import dgl
import time
import os
import igraph
import requests
import zipfile
import io
def remove_duplicate(x):
return list(dict.fromkeys(x))
class UnionFind:
def __init__(self, n):
self.n = n
self.parent = list(range(n))
def find(self, x)... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/MetaHIN_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.919160 |
import gc
import glob
import os
import pickle
# from DataProcessor import Movielens
from tqdm import tqdm
from multiprocessing import Process, Pool
from multiprocessing.pool import ThreadPool
import numpy as np
import torch
class Meta_DataHelper:
def __init__(self, input_dir, config):
self.input_dir = i... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/NBF_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:12.919695 | import os
import torch,requests,zipfile,io
import os.path as osp
from typing import Any, Callable, List, Optional
from collections.abc import Sequence
import copy
import ssl
import sys
import urllib
import errno
class NBF_Dataset():
def __init__(self, root, name, version, transform=None, pre_transform=None):# ... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/RecommendationDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.007423 | import os
import dgl
import torch as th
import numpy as np
from . import BaseDataset, register_dataset
from dgl.data.utils import download,load_graphs,save_graphs,save_info,load_info
from scipy.sparse import csr_matrix
import scipy.sparse as sp
from .multigraph import MultiGraphDataset
from ..sampler.negative_sampler i... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/NodeClassificationDataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.032907 | import os
import dgl
import dgl.function as fn
import torch as th
import numpy as np
from dgl.data.rdf import AIFBDataset, MUTAGDataset, BGSDataset, AMDataset
from dgl.data.utils import load_graphs, save_graphs
from dgl.data import CoraGraphDataset,CiteseerGraphDataset,PubmedGraphDataset
from dgl import sparse as dglsp... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.034063 | import importlib
from dgl.data import DGLDataset
from .base_dataset import BaseDataset
from .utils import load_acm, load_acm_raw, generate_random_hg
from .academic_graph import AcademicDataset,IMDB4MAGNN_Dataset
from .hgb_dataset import HGBDataset
from .ohgb_dataset import OHGBDataset
from .gtn_dataset import *
from .a... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/academic_graph.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.130185 | import os
from dgl.data.utils import download, extract_archive
from dgl.data import DGLDataset
from dgl.data.utils import load_graphs, idx2mask
import pickle
import scipy
import numpy as np
import dgl
import torch as th
# get dataset from database
class IMDB4MAGNN_Dataset(DGLDataset):
def __init__(self, name, a... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/adapter.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.355230 | """Dataset adapters for re-purposing a dataset for a different kind of training task."""
import os
import json
import numpy as np
from dgl.data import utils, DGLDataset
from dgl import backend as F
import dgl
from dgl.dataloading.negative_sampler import GlobalUniform, PerSourceUniform
import torch as th
from dgl impor... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/base_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.386077 | from abc import ABC, ABCMeta, abstractmethod
from dgl.data.utils import load_graphs
class BaseDataset(ABC):
def __init__(self, *args, **kwargs):
super(BaseDataset, self).__init__()
self.logger = kwargs['logger']
self.g = None
self.meta_paths = None
self.meta_paths_dict = No... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/alircd_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.386926 | import torch
import torch as th
import os
from dgl.data import DGLBuiltinDataset
from dgl.data.utils import load_graphs, save_graphs
import csv
from tqdm import tqdm
import numpy as np
import pickle as pkl
import dgl
__all__ = ['AliRCDDataset', 'AliRCDSmallDataset', 'AliRCDSession1Dataset', 'AliRCDSession2Dataset','Al... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/hgb_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.561460 | import os
from dgl.data.utils import download, extract_archive
from dgl.data import DGLDataset
from dgl.data.utils import load_graphs
class HGBDataset(DGLDataset):
_prefix = 'https://s3.cn-north-1.amazonaws.com.cn/dgl-data/'
_urls = {
}
def __init__(self, name, raw_dir=None, force_reload=False, ver... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/gtn_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.561947 | import pickle
import torch as th
import numpy as np
import dgl
import os
from dgl.data import DGLBuiltinDataset
from dgl.data.utils import idx2mask, load_graphs, save_graphs
__all__ = ['GTNDataset', 'IMDB4GTNDataset', 'ACM4GTNDataset', 'DBLP4GTNDataset']
class GTNDataset(DGLBuiltinDataset):
r"""GTN Dataset.
... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/mg2vec_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.636768 | import os
from dgl.data.utils import download, extract_archive
from dgl.data import DGLDataset
from dgl.data.utils import load_graphs
from dgl.data.utils import save_graphs
# Download and process the dataset for mg2vec
class Mg2vecDataSet(DGLDataset):
_prefix = 'https://s3.cn-north-1.amazonaws.com.cn/dgl-data/'
... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/meirec_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.647160 | from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset
from dgl.data.utils import download, extract_archive
import os
class MeiRECDataset(Dataset):
def __init__(self, phase , args = None):
# 这是从云盘上下载下来的 本地zip文件
self.zip_file = os.path.j... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/mag_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.647683 | import os
import numpy as np
import scipy.sparse as sp
import torch
import dgl
from dgl.data import download, extract_archive
from . import BaseDataset, register_dataset
@register_dataset('mag_dataset')
class MagDataset(BaseDataset):
def __init__(self, *args, **kwargs):
train_percent = kwargs.pop('train... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/multigraph.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.726862 | import os
from dgl.data.utils import download, extract_archive
from dgl.data import DGLDataset
from dgl.data.utils import load_graphs
class MultiGraphDataset(DGLDataset):
_prefix = 'https://s3.cn-north-1.amazonaws.com.cn/dgl-data/'
_urls = {
}
def __init__(self, name, raw_dir=None, force_reload=Fal... |
BUPT-GAMMA/OpenHGNN | https://github.com/BUPT-GAMMA/OpenHGNN | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | openhgnn/dataset/oag_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:13.997809 | import os
import dgl
import torch as th
from dgl.data import extract_archive, download
from . import BaseDataset, register_dataset
@register_dataset("oag_dataset")
class OAGDataset(BaseDataset):
def __init__(self, *args, **kwargs):
super(OAGDataset, self).__init__(*args, **kwargs)
self.name = "o... |
keras-team/keras-hub | https://github.com/keras-team/keras-hub | null | null | null | null | 975 | null | null | apache-2.0 | null | null | null | null | null | null | null | benchmarks/sentiment_analysis.py | null | null | null | null | null | null | Python | 2026-05-04T02:35:18.535101 | import inspect
import time
import tensorflow as tf
import tensorflow_datasets as tfds
from absl import app
from absl import flags
from tensorflow import keras
import keras_hub
FLAGS = flags.FLAGS
flags.DEFINE_string(
"model",
None,
"The name of the classifier such as BertTextClassifier.",
)
flags.DEFINE_... |
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