Train your Agent model via our easy and efficient framework

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

A recipe for online RLHF and online iterative DPO.

Best practices & guides on how to write distributed pytorch training code

verl: Volcano Engine Reinforcement Learning for LLMs

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agent RL)

Must-read Papers on Textual Adversarial Attack and Defense

Codebase for Image Classification Research, written in PyTorch.

A list of recent papers about Graph Neural Network methods applied in NLP areas.

A comprehensive collection of recent papers on graph deep learning

🔮 Life is short, you need PyTorch.

Completed the CS231n 2017 spring assignments from Stanford university

A curated list of network embedding techniques.

Paper Lists for Graph Neural Networks

A collection of important graph embedding, classification and representation learning papers with implementations.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

Anomaly detection related books, papers, videos, and toolboxes

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

📚 List of awesome university courses for learning Computer Science!