Artificial Bee Colony Algorithm in Python.
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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
Code for paper: End-to-end Stochastic Optimization with Energy-based Model
Utilities for parsing MPS and SMPS file formats.
Framework to model two stage stochastic unit commitment optimization problems.
Code for "Explainable Data-Driven Optimization" (ICML 2023)
A software package for flexible HPC GPs
One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)
StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.
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