Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

verl: Volcano Engine Reinforcement Learning for LLMs

[NeurIPS 2025] Reinforcement Learning for Reasoning in Large Language Models with One Training Example

PyTorch implementation of the groundbreaking paper "NoProp: Training Neural Networks Without Backpropagation or Forward Propagation".

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Hugging Face examples on NERSC systems

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Vim 从入门到精通

A feature-rich command-line audio/video downloader

a simple unofficial implementation of classifier-free diffusion guidance

支持多协议多用户的 xray 面板

Release for Improved Denoising Diffusion Probabilistic Models

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Open-Sora: Democratizing Efficient Video Production for All

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Pruning is all you need (hopefully)

Graduate school statement of purpose

A method to increase the speed and lower the memory footprint of existing vision transformers.

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"