Popular GitHub Repositories for Cite Seq

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A neural network that transforms a design mock-up into a static website.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Play couplet with seq2seq model. 用深度学习对对联。

ChatGPT带火了聊天机器人，主流的趋势都调整到了GPT类模式，本项目也与时俱进，会在近期更新GPT类版本。基于本项目和自己的语料可以训练出自己想要的聊天机器人，用于智能客服、在线问答、闲聊等场景。

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Kashgari 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.

Large Concept Models: Language modeling in a sentence representation space

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

CakeChat: Emotional Generative Dialog System

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

pytorch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t5模型，支持GPT2进行文章续写。

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).