Artificial Bee Colony Algorithm in Python.
-
Updated
Apr 19, 2021 - Python
Artificial Bee Colony Algorithm in Python.
Python library for stochastic numerical optimization
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
A simple implementation of SPSA with automatic learning rate tuning
Hessian-based stochastic optimization in TensorFlow and keras
[ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
Utilities for parsing MPS and SMPS file formats.
Code for paper: End-to-end Stochastic Optimization with Energy-based Model
A software package for flexible HPC GPs
Particle Swarm Optimization Python implementation
Code for "Explainable Data-Driven Optimization" (ICML 2023)
Framework to model two stage stochastic unit commitment optimization problems.
One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)
Add a description, image, and links to the stochastic-optimization topic page so that developers can more easily learn about it.
To associate your repository with the stochastic-optimization topic, visit your repo's landing page and select "manage topics."