Optimizing compiler for React
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Optimizing compiler for React
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Application designed to optimize, customize and enhance your Windows experience.
Google's Operations Research tools:
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Thoughts on Go performance optimization
A Python implementation of global optimization with gaussian processes.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
A Python-embedded modeling language for convex optimization problems.
Lightweight justice for your single-board computer!
Minify images seamlessly
High-performance TensorFlow library for quantitative finance.
Android virtual machine and deobfuscator
Fast and efficient CSS optimizer for node.js and the Web
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
:sunglasses: A curated list of robotics libraries and software
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
BLAS-like Library Instantiation Software Framework
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.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).