The fastai deep learning library

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

llama3 implementation one matrix multiplication at a time

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

LAVIS - A One-stop Library for Language-Vision Intelligence

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Plain python implementations of basic machine learning algorithms

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

GenAI Cookbook

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Kandinsky 2 — multilingual text2image latent diffusion model

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

MONAI Tutorials

《统计学习方法》笔记-基于Python算法实现

"Deep Generative Modeling": Introductory Examples

Code for Motion Representations for Articulated Animation paper

✔（已完结）超级全面的 C++ 笔记 【黑马程序员】

Medical image processing in Python

高性能计算相关知识学习笔记，包含学习笔记和相关知识的代码demo，在持续完善中。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

基于科研论文导向的可视化绘图集锦

Predicts the level of noise and reverberation on your audiofiles

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

A Deep Learning AI for 2048 (2048:94.15%, 4096:78.48%, 8192: 34.5% 16384: 0.177%)

SigPy for MRI Tutorial

OCMR (Open-Access Repository for Multi-Coil k-space Data for Cardiovascular Magnetic Resonance Imaging)

Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.