Highlights
- Pro
Optimization
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
Autograd Engine for Python Written in Python C-API for Speed
ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
Evolutionary algorithm toolbox and framework with high performance for Python
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
DE, CMA-ES, MA-ES, LM-MAES Python Implementation
Minimal PyTorch Library for Natural Evolution Strategies
Designing Running and Analyzing Experiments from the Coursera Course