Starred repositories
💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.
Latest Advances on Federated LLM Learning
[ArXiv 2025] A survey about controllable video generation: This repo is the official awesome of "Controllable video generation: A survey"
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
A high-performance inference engine for LLMs, optimized for diverse AI accelerators.
Lets make video diffusion practical!
The official repository of our survey paper: "Towards a Unified View of Preference Learning for Large Language Models: A Survey"
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
OmniGen2: Exploration to Advanced Multimodal Generation.
Master Federated Learning in 2 Hours—Run It on Your PC!
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome-LLM: a curated list of Large Language Model
Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
Awesome Incremental Learning
Paper notes and code for differentially private machine learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
[ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。