optimization
Repositories (1524)
Optax is a gradient processing and optimization library for JAX.
🌅 next-optimized-images automatically optimizes images used in next.js projects (jpeg, png, svg, webp and gif).
Visual Python and C++ nanosecond profiler, logger, tests enabler
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued co...
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Command-line control panel for Nginx Server to manage WordPress sites running on Nginx, PHP, MySQL, and Let's Encrypt
Steam Deck Guide. Learn all about the Tools, Accessories, Games, Emulators, and Gaming Tips that will make your Steam Deck an awesome Gaming Handheld...
An exceptionally fast, thorough and tiny unused-CSS cleaner
The Operator Splitting QP Solver
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
The Fastest DNN Running Framework on Web Browser
A CLI React performance optimization tool that identifies potential unnecessary re-rendering
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numb...
Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Sy...
glTF 2.0 SDK for JavaScript and TypeScript, on Web and Node.js.
OSX Optimizer: Optimize MacOS - Shell scripts to speed up your mac boot time, accelerate loading, and prevent unnecessary throttling.
Windows 10/11 Guide. Including Windows Security tools, Encryption, Nextcloud, Graphics, Gaming, Virtualization, Windows Subsystem for Linux (WSL 2), S...
Vehicle Routing Open-source Optimization Machine
SU2: An Open-Source Suite for Multiphysics Simulation and Design
Building blocks for rapid development of GenAI applications
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated sy...
SIMD for humans
Fast symbolic computation, code generation, and nonlinear optimization for robotics
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Open-source implementation of Google Vizier for hyper parameters tuning
MLBox is a powerful Automated Machine Learning python library.
A library for differentiable robotics on manifolds.
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
Concise and beautiful algorithms written in Julia
Tips and tricks to optimize your C++ code
A research toolkit for particle swarm optimization in Python
Completely reworked and improved C++ version of Advanced Locomotion System V4.
A curated list of awesome links and software libraries that are useful for robots.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Numerical optimization in pure Rust
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Optimization functions for Julia
Portfolio optimization and back-testing.
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for ae...
The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
collection of various resources devoted to performance and input lag optimization
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.