Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

A Collection of Papers on Diffusion Language Models

[NeurIPS 2025] Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Code for Implicit Generation and Generalization with Energy Based Models

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

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

Awesome resources on normalizing flows.

Easy generative modeling in PyTorch

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

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

Representation learning on large graphs using stochastic graph convolutions.

Unofficial PaddlePaddle Implementation of LINKX (Large Scale Learning on Non-Homophilous Graphs)

A collection of resources and papers on Diffusion Models

Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"