ganchengguang
google scholar: https://scholar.google.com/citations?user=FepMPoMAAAAJ&hl=ja kaggle:https://www.kaggle.com/chingkuangkam
Japan
ganchengguang's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
doccano/doccano
Open source annotation tool for machine learning practitioners.
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
bojone/bert4keras
keras implement of transformers for humans
thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
HazyResearch/flash-attention
Fast and memory-efficient exact attention
attardi/wikiextractor
A tool for extracting plain text from Wikipedia dumps
philipperemy/keras-attention-mechanism
Attention mechanism Implementation for Keras.
CyberZHG/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
loujie0822/DeepIE
DeepIE: Deep Learning for Information Extraction
yongzhuo/Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
ibm-aur-nlp/PubLayNet
universal-ie/UIE
Unified Structure Generation for Universal Information Extraction
songyingxin/Bert-TextClassification
Implemention some Baseline Model upon Bert for Text Classification
taishi-i/awesome-japanese-nlp-resources
A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese
hemingkx/CLUENER2020
A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.
yatengLG/Focal-Loss-Pytorch
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
DataTurks-Engg/Entity-Recognition-In-Resumes-SpaCy
Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition
nickchen121/Pre-training-language-model
博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接:https://github.com/nickchen121/Pre-training-language-model 配套博客链接:https://www.cnblogs.com/nickchen121/p/15105048.html
yahoojapan/JGLUE
JGLUE: Japanese General Language Understanding Evaluation
chen0040/keras-english-resume-parser-and-analyzer
keras project that parses and analyze english resumes
yaleimeng/TextClassify_with_BERT
使用BERT模型做文本分类;面向工业用途
makaishi2/math_dl_book_info
書籍「最短コースでわかる ディープラーニングの数学」用サポートサイト
Satrat/Resume-Parser
Analyze, score and rank a collection of PDF resumes using machine learning
AlexYangLi/TextClassification
All kinds of neural text classifiers implemented by Keras
shimamorieiki/tikz-cabocha-format
係り受け解析の結果をcabocha formatでlatexに出力するためのtikzコードを生成する