Optimization
Showing 10 of 46 projects
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
A high-performance JSON serializer and deserializer for .NET, built on Sigil with extensive optimization.
A framework for running deep neural network models directly in web browsers using ONNX format with WebGPU, WebGL, and WebAssembly backends.
A comprehensive Go scientific library for numerical simulations, linear algebra, differential equations, and computational geometry.
A Java collections framework with rich APIs, optimized implementations, and additional container types like Bag and Multimap.
A Ruby command-line tool that suggests performance improvements by analyzing code patterns against faster alternatives.
A Model Predictive Contouring Controller (MPCC) for autonomous racing, enabling high-speed path following and obstacle avoidance.
A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.
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