Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Jun 1, 2024 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms
Markov Chain Monte Carlo binary network optimization
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Gradient free reinforcement learning for PyTorch
Particle Swarm Optimiser
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
A collection and visualization of single objective black-box functions for optimization benchmarking.
Implementation of smoothing-based optimization algorithms
Exploring evolutionary protein fitness landscapes
Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.
Numerical optimization via mollifier smoothing
Snake SL - Supervised Learning that solves the Snake game. SL was implemented by Gradient-Free-Optimizers library available for Python, neural networks was created in Keras and game was created in Pygame.
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