Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Project moved to: https://github.com/llvm/llvm-project

A Python implementation of global optimization with gaussian processes.

⚙️ Node.js tool for optimizing SVG files

A JavaScript checker and optimizer.

A Python-embedded modeling language for convex optimization problems.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Serve, optimize and scale PyTorch models in production

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Soot - A Java optimization framework

Thoughts on Go performance optimization

Replicated and optimized community version of Advanced Locomotion System V4 for Unreal Engine 5.3 with additional features & bug fixes

Sequential model-based optimization with a `scipy.optimize` interface

Optimize React performance and make your React 70% faster in minutes, not months.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Source repo for the book

An object-oriented algebraic modeling language in Python for structured optimization problems.