Code for "Explainable Data-Driven Optimization" (ICML 2023)
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Updated
Jul 21, 2023 - Python
Code for "Explainable Data-Driven Optimization" (ICML 2023)
Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset
Unofficial PyTorch implementation of COCOB Backprop.
Source code for Mathematical Modelling Assignment
Simple evolutionary computation for the course Data Design Nature Inspired Computing
Algorithm of selective averaging of coordinates (SAC)
Deep-Learning-Optimization-Algorithms-Streamlit-Application
This is Python 3 library for multi-criteria decision analysis with decision-maker preference identification based on historical datasets using evolutionary stochastic algorithm Differential evolution
Particle Swarm Optimization algorithm
A simple implementation of SPSA with automatic learning rate tuning
Some work I did for an interview for a job as a data scientist optimisation specialist
Code for the experiments in the paper "Contextual Robust Optimisation with Uncertainty Quantification".
Library for global optimization of multiextremal nondifferentiable functions.
implementation of Hill Climbing algorithm for discrete tasks
Stochastic Second-Order Methods in JAX
Work to store exercises and explorations on Dr. Powell's RLSO.
reading SMPS files in Python (A Python package for reading SMPS files using GUROBI optimizer objects)
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