Master the command line, in one page

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Visualizer for neural network, deep learning and machine learning models

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

🌩「自选优选 IP」测试 Cloudflare CDN 延迟和速度，获取最快 IP ！当然也支持其他 CDN / 多个解析 IP 的网站 ~

Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

⚡️IPTV直播源自动更新平台『🤖全自动采集、筛选、测速、生成🚀』：自定义获取频道；IPv4/IPv6；接口验效；推流；多平台支持；工作流、Docker、命令行、GUI多端部署 | IPTV live streaming source automatic update platform

💤 A modern plugin manager for Neovim

Collections of awesome neovim plugins.

Tmux Plugin Manager

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

BertViz: Visualize Attention in Transformer Models

🚴 Call stack profiler for Python. Shows you why your code is slow!

Complete BIOS and firmware packs for RetroArch, Batocera, Recalbox, Lakka, RetroPie, EmuDeck, RetroBat, RetroDECK, RomM. Verified checksums, 6700+ files, 300+ emulators profiled from source code.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Model interpretability and understanding for PyTorch

A collection of AWESOME things about domain adaptation

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Enabling PyTorch on XLA Devices (e.g. Google TPU)

This is the development home of the workflow management system Snakemake. For general information, see

Portable file system cache diagnostics and control

AIStore: scalable storage for AI applications

Conda recipes for the bioconda channel.