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84

1.2k

mit

21

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

hyperactive nelder-mead optimization hill-climbing random-search meta-heuristic machine-learning simulated-annealing evolution-strategies bayesian-optimization blackbox-optimization constrained-optimization tree-of-parzen-estimator gradient-free-optimization hyperparameter-optimization particle-swarm-optimization

Created 2020-04-04

878 commits to master branch, last one 6 days ago

evox EMI-Group

35

194

bsd-3-clause

3

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

gym jax ray brax metaheuristics neuroevolution gpu-acceleration black-box-optimization evolutionary-algorithms evolutionary-strategies evolutionary-computation evolutionary-optimization gradient-free-optimization derivative-free-optimization multi-objective-optimization population-based-optimization evolutionary-reinforcement-learinig

Created 2022-07-27

1,153 commits to main branch, last one 5 days ago

pypop Evolutionary-Intelligence

27

193

gpl-3.0

5

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/...). [...

direct-search random-search metaheuristics genetic-algorithms global-optimization evolution-strategies black-box-optimization differential-evolution nonlinear-optimization numerical-optimization continuous-optimization evolutionary-algorithms optimization-algorithms large-scale-optimization zeroth-order-optimization gradient-free-optimization particle-swarm-optimization derivative-free-optimization population-based-optimization estimation-of-distribution-algorithms

Created 2021-01-26

7,489 commits to main branch, last one 20 hours ago

MPMP Hzfinfdu

6

39

unknown

1

ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning

modular deep-learning prompt-learning black-box-tuning few-shot-learning multitask-learning gradient-free-optimization natural-language-processing

Created 2022-04-28

70 commits to master branch, last one about a year ago

ttopt AndreiChertkov

3

30

mit

2

Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

optimization tensor-train tensor-trains optimization-methods tensor-decomposition discrete-optimization optimization-algorithm multidimensional-arrays gradient-free-optimization tensor-decomposition-algorithms

Created 2022-08-15

31 commits to master branch, last one about a year ago

PROTES anabatsh

2

29

unknown

4

Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.

optimization tensor-train tensor-decomposition discrete-optimization multidimensional-arrays gradient-free-optimization

Created 2023-02-09

97 commits to main branch, last one about a month ago