AnblueWang's Stars
ChatGPTNextWeb/ChatGPT-Next-Web
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
sidhq/Multi-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Hunlongyu/ZY-Player
▶️ 跨平台桌面端视频资源播放器.简洁无广告.免费高颜值. 🎞
namisan/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
lizekang/ITDD
The source code of our ACL2019 paper "Incremental Transformer with Deliberation Decoder for Document Grounded Conversations "
AsaCooperStickland/Bert-n-Pals
Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/abs/1902.02671)
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
wepe/efficient-decision-tree-notes
高效决策树算法系列笔记
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
atulkum/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
bojone/kg-2019-baseline
2019年百度的三元组抽取比赛,一个baseline
mgalley/DSTC7-End-to-End-Conversation-Modeling
Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)
Leputa/Machine-Learning-Foundations-Techniques
shadowsocksr-backup/shadowsocksr
Python port of ShadowsocksR
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
google-research-datasets/word_sense_disambigation_corpora
SemCor and Masc documents annotated with NOAD word senses.
crownpku/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
chaoming0625/FineGrainedOpinionMining
细粒度情感分析repository2:细粒度情感分析接口,aspect-based sentiment analysis based on HMM.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media