machine-learning

A collaboration friendly studio for NeRFs

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

🐍 Geometric Computer Vision Library for Spatial AI

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Minimal and clean examples of machine learning algorithms implementations

Turi Create simplifies the development of custom machine learning models.

Refine high-quality datasets and visual AI models

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

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Open source annotation tool for machine learning practitioners.

Open Machine Learning Course

Fast and Accurate ML in 3 Lines of Code

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Content aware image resize library

Tutorials, assignments, and competitions for MIT Deep Learning related courses.