Stars
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Graph Neural Network Library for PyTorch
🤗 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.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
✨✨Latest Advances on Multimodal Large Language Models
Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.
[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web" -- the first LLM-based web agent and benchmark for generalist web agents
Insightful Tutorials and Papers about Knowledge Graphs
An Illusion of Progress? Assessing the Current State of Web Agents
This repository serves as a comprehensive knowledge hub, curating cutting-edge research papers and developments across 25+ specialized domains
Machine Learning Engineering Open Book
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Building a comprehensive and handy list of papers for GUI agents
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Repository for the BioCLIP 2 model project. [NeurIPS'25 Spotlight]
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
[ACL'25 (Findings)] Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents
A lightweight library for PyTorch training tools and utilities
links to conference publications in graph-based deep learning
Deep Learning and deep reinforcement learning research papers and some codes
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A simple screen parsing tool towards pure vision based GUI agent
Fully open reproduction of DeepSeek-R1
Friends don't let friends make certain types of data visualization - What are they and why are they bad.