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A PyTorch Library for Multi-Task Learning
Created
2021-12-18
168 commits to main branch, last one 3 months ago
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
Created
2013-12-21
12,327 commits to master branch, last one 7 days ago
A framework for single/multi-objective optimization with metaheuristics
Created
2017-01-18
1,187 commits to main branch, last one about a month ago
jMetal: a framework for multi-objective optimization with metaheuristics
Created
2014-05-02
4,759 commits to main branch, last one 17 days ago
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
island-model
optimization
meta-heuristic
meta-heuristics
parallel-computing
parallel-processing
optimization-methods
optimization-problem
evolutionary-strategy
artificial-intelligence
evolutionary-algorithms
optimization-algorithms
stochastic-optimization
evolutionary-computation
multiobjective-optimization
Created
2020-01-07
607 commits to master branch, last one 5 months ago
Evolutionary & genetic algorithms for Julia
Created
2014-09-08
199 commits to master branch, last one about a year ago
Experimental design and (multi-objective) bayesian optimization.
Created
2022-10-31
511 commits to main branch, last one 23 hours 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
204 commits to main branch, last one a day ago
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
Created
2020-02-11
6 commits to master branch, last one 3 years ago
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
Created
2021-10-26
17 commits to main branch, last one about a year ago
An implementation of NSGA-III in Python.
Created
2016-01-01
17 commits to master branch, last one 7 months ago
Spatial Containers, Pareto Fronts, and Pareto Archives
Created
2020-05-12
277 commits to master branch, last one 2 years ago
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
Created
2016-09-05
13 commits to master branch, last one 2 years ago
一个疫情背景下应急物资配送算法：用改进后的多目标粒子群优化（MOPSO）算法解决带有风险矩阵的多辆车配送旅行商问题（TSP）
Created
2022-02-09
54 commits to master branch, last one 2 years ago
Python library for parallel multiobjective simulation optimization
Created
2022-01-17
703 commits to main branch, last one 5 months ago
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Created
2024-02-22
263 commits to main branch, last one 3 months ago
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Created
2023-09-04
134 commits to main branch, last one 17 days ago
Multiobjective black-box optimization using gradient-boosted trees
Created
2020-08-26
647 commits to master branch, last one about a month ago
"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
Created
2020-12-14
12 commits to main branch, last one 3 years ago
🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning
Created
2021-09-21
59 commits to main branch, last one about a year ago
hybrid genetic algorithm for container loading problem
Created
2020-04-18
15 commits to master branch, last one 10 months ago
This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
Created
2021-03-24
2 commits to main branch, last one 3 years ago
standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms
Created
2022-05-05
38 commits to main branch, last one about a month ago