DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Universal markup converter
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
aider is AI pair programming in your terminal