12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A Python framework for creating reproducible, maintainable code
Jupyter notebook tutorials for OpenVINO
Sparsity-aware deep learning inference runtime for CPUs
This repos contains notebooks for the Advanced Solutions Lab
Ongoing research training transformer models at scale
Package and deploy machine learning models using Docker containers
A minimalist environment for decision-making in autonomous driving
Data processing for and with foundation models
Core ML tools contain supporting tools for Core ML model conversion
Python framework for adversarial attacks, and data augmentation
Universal LLM Deployment Engine with ML Compilation
An MLOps framework to package, deploy, monitor and manage models
Learning agent trained in a diffusion world model
Making large AI models cheaper, faster and more accessible
Links to everything you'd ever want to learn about data engineering
A collection of notebooks/recipes showcasing ways of using Claude
VMAS is a vectorized differentiable simulator
A Repo For Document AI
Machine learning metrics for distributed, scalable PyTorch application
AI-powered Quantitative Investment Research Platform
Lazy Predict help build a lot of basic models without much code
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
Numerical differential equation solvers in JAX
A simple yet powerful agent framework that delivers with models