Optimization
Showing 36 of 133 projects
A memory management library for Android that reuses bitmap memory to reduce garbage collection and improve app performance.
A JAX library for nonlinear optimization including root finding, minimization, fixed points, and least squares.
A Python framework for gradient-free optimization, featuring common algorithms like genetic algorithms and simulated annealing.
Autograd automatically differentiates native Torch code, enabling automatic gradient computation for machine learning models.
A Python library for statistical learning with a focus on time-dependent modeling, including point processes and generalized linear models.
A PostgreSQL extension that uses machine learning to improve query cardinality estimation and optimize execution plans.
A modern supercompiler for call-by-value functional languages that transforms programs via symbolic evaluation and metasystem transitions.
A ROS2 package for calibrating robot parameters like camera intrinsics, joint offsets, and frame transforms via optimization.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
A dead simple, super fast, zero-allocation JSON logger for Go.
A scientific library providing tools for research in interplanetary trajectory design and space flight mechanics.
A lightweight, embeddable observability library for Go services offering real-time metrics, function tracing, and a built-in dashboard.
A command-line interface for blazingly fast audio transcription using optimized Whisper ASR models.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
A high-performance, zero-allocation Java pathfinding library designed for extreme concurrency and low latency in demanding environments like Minecraft servers.
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
A JAX library implementing Lie groups for rigid body transformations in computer vision and robotics.
A JAX library for second-order optimization of neural networks using the K-FAC curvature approximation algorithm.
An efficient open-source Python package for 3D photonic nanostructure simulation and design using GPU-accelerated FDTD with automatic differentiation.
A high-performance Clojure math library optimized for primitive operations, featuring statistics, random numbers, vectors, matrices, and numerical methods.
A lightweight Python tool for aerostructural optimization of aircraft wings using OpenMDAO.
A greedy path planning tool that optimizes SVG files for more efficient pen plotting by sorting drawing paths.
A Python library for feature selection using nature-inspired wrapper algorithms like particle swarm, grey wolf, and genetic optimization.
A fast and flexible Rust library for implementing genetic algorithms, neuroevolution, and genetic programming.
A Java-based open-source constraint programming solver with extensive global constraints and Scala DSL support.
A C++ library with Python bindings for robotic motion planning and decision making, integrated with DART and OMPL.
A Gulp plugin that logs file sizes in your build pipeline with compression and formatting options.
A flexible genetic algorithm library for Go, enabling optimization and simulation through configurable components.
A Python library that enables mathematical operations on JAX pytrees, allowing numerical algorithms to work directly with complex nested data structures.
A highly optimized double-ended queue for Go, significantly faster than container/list for adding/removing elements at both ends.
A flexible Rust framework for building and running genetic algorithm simulations for optimization and search problems.
A fast, parallel, and extensible genetic algorithms framework implemented in Rust for solving optimization problems.
A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.
A cross-platform .NET wrapper for Intel MKL, providing high-performance matrix algebra, optimization, and statistics functions.
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