🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Inference code for Llama models

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

PyTorch Tutorial for Deep Learning Researchers

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Build, Manage and Deploy AI/ML Systems

Chinese version of GPT2 training code, using BERT tokenizer.

Natural Language Processing Best Practices & Examples

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

A curated list of community detection research papers with implementations.

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

Some Conferences' accepted paper lists (including AI, ML, Robotic)

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

This repository provides a reference implementation of struc2vec.

Dynamic Topic Modeling via Non-negative Matrix Factorization

Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)

Distributed and decentralized training framework for PyTorch over graph

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

[NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

Language modeling via stochastic processes. Oral @ ICLR 2022.

Official Implementation of "Psychologically Enhanced AI Agents"