Kevinpro-NLP-demoAll NLP you Need Here. 个人实现了一些好玩的NLP demo,目前包含13个NLP应用的pytorch实现
Stars: ✭ 117 (-44.81%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-89.15%)
Spark NlpState of the Art Natural Language Processing
Stars: ✭ 2,518 (+1087.74%)
Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Stars: ✭ 466 (+119.81%)
transformerA PyTorch Implementation of "Attention Is All You Need"
Stars: ✭ 28 (-86.79%)
Nlp Experiments In PytorchPyTorch repository for text categorization and NER experiments in Turkish and English.
Stars: ✭ 35 (-83.49%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1512.26%)
Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: ✭ 22 (-89.62%)
Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+92.45%)
Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+26193.4%)
kospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
Stars: ✭ 456 (+115.09%)
deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (-71.7%)
Tensorflow Ml Nlp텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (-16.98%)
JoeynmtMinimalist NMT for educational purposes
Stars: ✭ 420 (+98.11%)
transformerNeutron: A pytorch based implementation of Transformer and its variants.
Stars: ✭ 60 (-71.7%)
Nlp TutorialsSimple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Stars: ✭ 394 (+85.85%)
Bert seq2seqpytorch实现bert做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持GPT2进行文章续写。
Stars: ✭ 298 (+40.57%)
Asr Stars: ✭ 54 (-74.53%)
DeltaDELTA is a deep learning based natural language and speech processing platform.
Stars: ✭ 1,479 (+597.64%)
KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Stars: ✭ 2,235 (+954.25%)
Nlp pytorch projectEmbedding, NMT, Text_Classification, Text_Generation, NER etc.
Stars: ✭ 153 (-27.83%)
Transformer Temporal TaggerCode and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Stars: ✭ 55 (-74.06%)
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+366.98%)
FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Stars: ✭ 204 (-3.77%)
EmbeddingEmbedding模型代码和学习笔记总结
Stars: ✭ 25 (-88.21%)
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
Stars: ✭ 914 (+331.13%)
Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Stars: ✭ 143 (-32.55%)
KospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
Stars: ✭ 190 (-10.38%)
Graph TransformerTransformer for Graph Classification (Pytorch and Tensorflow)
Stars: ✭ 191 (-9.91%)
Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Stars: ✭ 202 (-4.72%)
SentimentanalysisSentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Stars: ✭ 186 (-12.26%)
Nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
Stars: ✭ 202 (-4.72%)
Seq2seq基于Pytorch的中文聊天机器人 集成BeamSearch算法
Stars: ✭ 200 (-5.66%)
Transformer ClinicUnderstanding the Difficulty of Training Transformers
Stars: ✭ 179 (-15.57%)
Headliner🏖 Easy training and deployment of seq2seq models.
Stars: ✭ 221 (+4.25%)
Sttn[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Stars: ✭ 211 (-0.47%)
TgenStatistical NLG for spoken dialogue systems
Stars: ✭ 179 (-15.57%)
Lumen Api StarterLumen 8 基础上扩展出的API 启动项目,精心设计的目录结构,规范统一的响应数据格式,Repository 模式架构的最佳实践。
Stars: ✭ 197 (-7.08%)
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Stars: ✭ 196 (-7.55%)
FastnlpfastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Stars: ✭ 2,441 (+1051.42%)
Transformers.jlJulia Implementation of Transformer models
Stars: ✭ 173 (-18.4%)
LingvoLingvo
Stars: ✭ 2,361 (+1013.68%)