Optimizing compiler for React
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Optimizing compiler for React
Google's Operations Research tools:
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
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
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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.
Fast and efficient CSS optimizer for node.js and the Web
Bayesian optimization in PyTorch
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.
g2o: A General Framework for Graph Optimization
Model-rocketry aerodynamics and trajectory simulation software
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
POT : Python Optimal Transport
BLAS-like Library Instantiation Software Framework
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
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Here we collect and discuss the best DeFI & Blockchain researches and tools. Feel free to DM me on Twitter or open pool request.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Open source time series library for Python
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Machine Learning in R