Bringing BERT into modernity via both architecture changes and scaling

Graph neural network Algorithms: GraphSAGE, GCN 和 GAT

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

🦜🔗 Build context-aware reasoning applications

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Unify Efficient Fine-Tuning of 100+ LLMs

The official Meta Llama 3 GitHub site

LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

基于pytorch的级联Bert用于中文命名实体识别。

An experimental open-source attempt to make GPT-4 fully autonomous.

Chat with Arxiv Paper 📑 (ChatGPT) / 通过对话理解论文

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

Fastest network node embeddings in the west

StellarGraph - Machine Learning on Graphs

An index of recommendation algorithms that are based on Graph Neural Networks.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，Seq2Seq_Attention，BERT，MacBERT，ELECTRA，ERNIE，Transformer等模型实现，开箱即用。

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

All Algorithms implemented in Python

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

百度NLP：分词，词性标注，命名实体识别，词重要性