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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

⚙️ Node.js tool for optimizing SVG files

Optimizing compiler for React

A Python implementation of global optimization with gaussian processes.

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

Lightweight justice for your single-board computer!

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Android virtual machine and deobfuscator

Optimizing inference proxy for LLMs

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

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Model-rocketry aerodynamics and trajectory simulation software

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Optax is a gradient processing and optimization library for JAX.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

MLBox is a powerful Automated Machine Learning python library.

A research toolkit for particle swarm optimization in Python

The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.

A Free and Open Source Python Library for Multiobjective Optimization

The wise choice for Ruby memoization

🎯 A comprehensive gradient-free optimization framework written in Python

Module for statistical learning, with a particular emphasis on time-dependent modelling

Fast and scalable construction of risk parity portfolios

Smart Tree: not just a tree, a philosophy. A context-aware, AI-crafted replacement for 20+ tools with MEM8 quantum compression, semantic search, AST-smart editing, and partnership memory. Crafted with care by human + AI—accept no knock-offs.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.