training

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

Machine Learning Engineering Open Book

Damn Vulnerable Web Application (DVWA)

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A straightforward method for training your LLM, from downloading data to generating text.

🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.

A Cloud Native Batch System (Project under CNCF)

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

OneTrainer is a one-stop solution for all your Diffusion training needs.

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Join a time-traveling adventure where you meet history’s legends while learning Generative AI technologies! ✨

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Guideline following Large Language Model for Information Extraction

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Enhancing LLMs with LoRA

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

deep learning