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github.com/ShenDezhou/CAIL
/ types & classes
Types & classes
1,183 in github.com/ShenDezhou/CAIL
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Functions
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Types & classes
1,183
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Endpoints
4
↓ 85 callers
Class
AdamW
Implements Adam algorithm with weight decay fix. Parameters: lr (float): learning rate. Default 1e-3. betas (tuple of 2 floats):
CAIL2020/ydlj/baseline/transformers/optimization.py:87
↓ 20 callers
Class
ConfigTester
CAIL2020/ydlj/baseline/transformers/tests/modeling_common_test.py:746
↓ 20 callers
Class
InputExample
A single training/test example for simple sequence classification. Args: guid: Unique id for the example. text_a: string. Th
CAIL2020/ydlj/baseline/transformers/data/processors/utils.py:22
↓ 18 callers
Class
BasicTokenizer
Runs basic tokenization (punctuation splitting, lower casing, etc.).
CAIL2020/ydlj/baseline/transformers/tokenization_bert.py:269
↓ 14 callers
Class
BertModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_bert.py:584
↓ 12 callers
Class
FPN
CAIL2020/lbwj/FPN.py:22
↓ 10 callers
Class
ConvBNACT
CAIL2020/lbwj/resnetv.py:12
↓ 10 callers
Class
ConvBNACT
CAIL2020/cocr/torchocr/networks/CommonModules.py:21
↓ 10 callers
Class
ConvBNACT
CAIL2020/cocr/torchocr/networks/backbones/DetResNetvd.py:14
↓ 10 callers
Class
ConvBNACT
CAIL2020/cocr/torchocr/networks/backbones/RecResNetvd.py:12
↓ 10 callers
Class
ConvBNACT
CAIL2020/cocr/torchocr/networks/backbones/RecResNetLMvd.py:13
↓ 9 callers
Class
Conv1D
CAIL2020/ydlj/baseline/transformers/modeling_utils.py:493
↓ 9 callers
Class
XLNetModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_xlnet.py:569
↓ 8 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2018/xsfl/data.py:95
↓ 8 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/sfzyzc/sfzyza/data.py:97
↓ 8 callers
Class
TFBertMainLayer
CAIL2020/ydlj/baseline/transformers/modeling_tf_bert.py:464
↓ 8 callers
Class
TFConv1D
CAIL2020/ydlj/baseline/transformers/modeling_tf_utils.py:314
↓ 7 callers
Class
Attention
CAIL2020/sfksz/model/layer/Attention.py:6
↓ 7 callers
Class
AttrDict
CAIL2020/sfzywg/rouge/utils.py:9
↓ 7 callers
Class
ConvBnRelu
CAIL2020/lbwj/FPN.py:8
↓ 7 callers
Class
ConvBnRelu
CAIL2020/cocr/torchocr/networks/necks/FPN.py:8
↓ 7 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2021/stxq/data.py:112
↓ 7 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2021/slsb/data.py:112
↓ 7 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/zwfc/data.py:111
↓ 7 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/jesbl/data.py:110
↓ 7 callers
Class
Dict
CAIL2020/sfzywg/rouge/dict.py:16
↓ 7 callers
Class
LSTMEncoder
CAIL2020/sfksz/model/encoder/LSTMEncoder.py:6
↓ 6 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ayfl-4/data.py:96
↓ 6 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/sfzyzc/sfzyzb/data.py:95
↓ 6 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/sfzyza/data.py:97
↓ 6 callers
Class
TFSharedEmbeddings
Construct shared token embeddings.
CAIL2020/ydlj/baseline/transformers/modeling_tf_utils.py:345
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/hyfl/data.py:95
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/htflx/data.py:96
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/jesb/data.py:95
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/htfl/data.py:96
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/htfltpu/data.py:96
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/lbwj/data.py:97
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ayfl/data.py:96
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ydljz(hong)/data.py:197
↓ 5 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/sfzyzb/data.py:95
↓ 5 callers
Class
DistilBertModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_distilbert.py:401
↓ 5 callers
Class
ResNet
CAIL2020/lbwj/resnetv.py:182
↓ 5 callers
Class
RobertaModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_roberta.py:147
↓ 5 callers
Class
SequenceSummary
r""" Compute a single vector summary of a sequence hidden states according to various possibilities: Args of the config class: sum
CAIL2020/ydlj/baseline/transformers/modeling_utils.py:732
↓ 5 callers
Class
TFDistilBertMainLayer
CAIL2020/ydlj/baseline/transformers/modeling_tf_distilbert.py:399
↓ 5 callers
Class
TFXLNetMainLayer
CAIL2020/ydlj/baseline/transformers/modeling_tf_xlnet.py:351
↓ 5 callers
Class
XLMModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_xlm.py:322
↓ 4 callers
Class
AlbertModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_albert.py:436
↓ 4 callers
Class
Attention
CAIL2020/sfks/model/qa/HAF.py:28
↓ 4 callers
Class
BertAttention
CAIL2020/ydlj/baseline/transformers/modeling_bert.py:278
↓ 4 callers
Class
CRF
Conditional random field. This module implements a conditional random field [LMP01]_. The forward computation of this class computes the log
CAIL2020/zwfc/model.py:582
↓ 4 callers
Class
CheckReason
CAIL2020/sfzyy/rulereason/CheckReason.py:7
↓ 4 callers
Class
CheckReason
CAIL2020/sfzyzc/sfzyy/rulereason/CheckReason.py:7
↓ 4 callers
Class
CompFact
CAIL2020/sfzyy/rulefact/CompFact.py:7
↓ 4 callers
Class
CompFact
CAIL2020/sfzyzc/sfzyy/rulefact/CompFact.py:7
↓ 4 callers
Class
CompOpinion
CAIL2020/sfzyy/ruleopinion/CompOpinion.py:7
↓ 4 callers
Class
CompOpinion
CAIL2020/sfzyzc/sfzyy/ruleopinion/CompOpinion.py:7
↓ 4 callers
Class
CompPropose
CAIL2020/sfzyy/rulepropose/CompPropose.py:10
↓ 4 callers
Class
CompPropose
CAIL2020/sfzyzc/sfzyy/rulepropose/CompPropose.py:10
↓ 4 callers
Class
CompResult
CAIL2020/sfzyy/ruleresult/CompResult.py:7
↓ 4 callers
Class
CompResult
CAIL2020/sfzyzc/sfzyy/ruleresult/CompResult.py:7
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ydljz/data.py:196
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ydljzs/data.py:196
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/znwd/data.py:97
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/covid/data.py:97
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/ydljzt/data.py:196
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/lbwjtpu/data.py:97
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/rlfl/data.py:97
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/sfksx/data.py:95
↓ 4 callers
Class
Data
Data processor for BERT and RNN model for SMP-CAIL2020-Argmine. Attributes: model_type: 'bert' or 'rnn' max_seq_len: int, default
CAIL2020/lbwjx/data.py:97
↓ 4 callers
Class
GPT2Model
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_gpt2.py:326
↓ 4 callers
Class
GRUEncoder
CAIL2020/sfksz/model/encoder/GRUEncoder.py:6
↓ 4 callers
Class
GRUEncoder
CAIL2020/sfks/model/encoder/GRUEncoder.py:6
↓ 4 callers
Class
HSwish
CAIL2020/cocr/torchocr/networks/CommonModules.py:6
↓ 4 callers
Class
Identity
r"""A placeholder identity operator that is argument-insensitive.
CAIL2020/ydlj/baseline/transformers/modeling_utils.py:44
↓ 4 callers
Class
LSTMEncoder
CAIL2020/sfks/model/encoder/LSTMEncoder.py:6
↓ 4 callers
Class
MecabTokenizer
Runs basic tokenization with MeCab morphological parser.
CAIL2020/ydlj/baseline/transformers/tokenization_bert_japanese.py:159
↓ 4 callers
Class
OpenAIGPTModel
r""" Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **last_hidden_state**: ``torch.Float
CAIL2020/ydlj/baseline/transformers/modeling_openai.py:335
↓ 4 callers
Class
RecDataProcess
CAIL2020/cocr/torchocr/datasets/RecDataSet.py:216
↓ 4 callers
Class
TFRobertaMainLayer
Same as TFBertMainLayer but uses TFRobertaEmbeddings.
CAIL2020/ydlj/baseline/transformers/modeling_tf_roberta.py:64
↓ 4 callers
Class
TFSequenceSummary
r""" Compute a single vector summary of a sequence hidden states according to various possibilities: Args of the config class: sum
CAIL2020/ydlj/baseline/transformers/modeling_tf_utils.py:406
↓ 4 callers
Class
TFXLMMainLayer
CAIL2020/ydlj/baseline/transformers/modeling_tf_xlm.py:202
↓ 4 callers
Class
TransfoXLTokenizer
Transformer-XL tokenizer adapted from Vocab class in https://github.com/kimiyoung/transformer-xl
CAIL2020/ydlj/baseline/transformers/tokenization_transfo_xl.py:65
↓ 4 callers
Class
WordpieceTokenizer
Runs WordPiece tokenization.
CAIL2020/ydlj/baseline/transformers/tokenization_bert.py:405
↓ 4 callers
Class
XLNetTokenizer
SentencePiece based tokenizer. Peculiarities: - requires `SentencePiece <https://github.com/google/sentencepiece>`_
CAIL2020/ydlj/baseline/transformers/tokenization_xlnet.py:54
↓ 3 callers
Class
AlbertTokenizer
SentencePiece based tokenizer. Peculiarities: - requires `SentencePiece <https://github.com/google/sentencepiece>`_
CAIL2020/ydlj/baseline/transformers/tokenization_albert.py:56
↓ 3 callers
Class
AverageMeter
Computes and stores the average and current value
CAIL2020/cocr/torchocr/metrics/DetMetric.py:7
↓ 3 callers
Class
BertConfig
r""" :class:`~transformers.BertConfig` is the configuration class to store the configuration of a `BertModel`. Arguments:
CAIL2020/ydlj/baseline/transformers/configuration_bert.py:52
↓ 3 callers
Class
BertEncoder
CAIL2020/sfksz/model/encoder/BertEncoder.py:9
↓ 3 callers
Class
BertSupportNet
joint train bert and graph fusion net
CAIL2020/ydljtpu/model.py:7
↓ 3 callers
Class
BertSupportNet
joint train bert and graph fusion net
CAIL2020/ydljx/model.py:7
↓ 3 callers
Class
BertSupportNet
joint train bert and graph fusion net
CAIL2020/ydljy/model.py:7
↓ 3 callers
Class
CRF
Conditional random field. This module implements a conditional random field [LMP01]_. The forward computation of this class computes the log
CAIL2021/stxq/model.py:582
↓ 3 callers
Class
CRF
Conditional random field. This module implements a conditional random field [LMP01]_. The forward computation of this class computes the log
CAIL2021/slsb/model.py:581
↓ 3 callers
Class
CRF
Conditional random field. This module implements a conditional random field [LMP01]_. The forward computation of this class computes the log
CAIL2020/jesbl/model.py:582
↓ 3 callers
Class
CTCLabelConverter
Convert between text-label and text-index
CAIL2020/cocr/torchocr/utils/label_convert.py:6
↓ 3 callers
Class
CheckImportance
CAIL2020/sfzy/gbtimportance/CheckImportance.py:14
↓ 3 callers
Class
CheckReason
CAIL2020/sfzy/rulereason/CheckReason.py:14
↓ 3 callers
Class
CompFact
CAIL2020/sfzy/rulefact/CompFact.py:14
↓ 3 callers
Class
CompOpinion
CAIL2020/sfzy/ruleopinion/CompOpinion.py:14
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