34 results found Sort:

415
2.5k
apache-2.0
28
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Created 2017-09-19
973 commits to main branch, last one 3 days ago
A PyTorch Library for Multi-Task Learning
Created 2021-12-18
174 commits to main branch, last one 3 days ago
486
1.8k
unknown
50
Evolutionary multi-objective optimization platform
Created 2018-10-12
364 commits to master branch, last one 2 months ago
163
861
gpl-3.0
36
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Created 2017-01-08
4,635 commits to master branch, last one 2 months ago
52
403
apache-2.0
11
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Created 2021-10-15
667 commits to main branch, last one 14 days ago
61
393
gpl-3.0
11
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Created 2022-07-27
2,032 commits to main branch, last one a day ago
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Created 2022-10-20
21 commits to main branch, last one 10 months ago
High-performance metaheuristics for optimization coded purely in Julia.
Created 2017-10-29
831 commits to master branch, last one 21 days ago
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Created 2024-06-01
260 commits to main branch, last one 10 hours ago
68
206
mit
8
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
Created 2018-10-12
84 commits to master branch, last one 2 years ago
36
154
apache-2.0
2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Created 2020-07-11
4 commits to master branch, last one 2 years ago
19
140
unknown
5
AutoOED: Automated Optimal Experimental Design Platform
Created 2020-06-23
477 commits to master branch, last one 2 years ago
17
121
gpl-3.0
5
Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.
Created 2022-08-10
109 commits to main branch, last one about a month ago
Multi-objective Bayesian optimization
Created 2020-01-18
90 commits to master branch, last one about a year ago
Generalized and Efficient Blackbox Optimization System.
Created 2019-05-02
607 commits to master branch, last one 2 years ago
OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Loc...
Created 2017-11-06
1,688 commits to master branch, last one a day ago
14
77
bsd-3-clause
5
Library for Multi-objective optimization in Gradient Boosted Trees
Created 2021-06-29
22 commits to master branch, last one 3 years ago
A Julia package for solving multi-objective optimization problems
Created 2019-12-05
92 commits to master branch, last one a day ago
Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
Created 2020-05-25
11 commits to master branch, last one 3 years ago
11
58
other
6
Yuck is a local-search constraint solver with FlatZinc interface
Created 2016-06-19
528 commits to master branch, last one about a year ago
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
Created 2020-03-18
34 commits to master branch, last one 2 months ago
MATLAB Tool for Multi-Objective Optimization
Created 2020-01-24
30 commits to master branch, last one 12 days ago
4
53
mit
1
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
Created 2023-02-17
25 commits to main branch, last one 12 months ago
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Ric...
Created 2020-04-22
340 commits to master branch, last one about a month ago
"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.
Created 2019-09-07
146 commits to master branch, last one 3 years ago
This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function
Created 2020-04-24
63 commits to master branch, last one about a year ago
This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is model...
Created 2020-12-15
15 commits to main branch, last one 2 years ago
A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.
Created 2025-01-09
28 commits to main branch, last one about a month ago
7
35
mit
1
A genetic algorithms library in C++ for single- and multi-objective optimization.
Created 2021-08-14
1,408 commits to master branch, last one 7 days ago