Machine Learning Notebooks

Optimization notebooks

A collection of various scientific notebooks ✨

Supply Chain Analytics - Notebooks for classroom.

Notebooks for optimizing in python using docplex package(Optimization Modeling for Python).

Mathematical explorations and first-principles implementations of core machine learning methods.

Describe your numerical experiments

Jupyter Notebook exploring Dynamic Economic Emissions Dispatch (DEED) using reinforcement learning with OpenAI Gym.

Мaterials for Quantitative Methods Exercise Classes (taught in Bulgarian), including Linear Programming, Simplex algorithms, and graphical solutions: A collection of Jupyter notebooks and Python scripts

Two Python/Jupyter notebooks exploring advanced neural network topics and experiments (questions 8.3 and 8.4) implemented in PyTorch.

A set of PyTorch/Jupyter notebooks exploring optimization algorithms and training strategies (e.g., SGD/Adam variants) with convergence and loss/metric visualizations.

Python implementations of reinforcement learning algorithms from Sutton & Barto's book "Reinforcement Learning: An Introduction". Includes solutions to book exercises.

Travelling Salesman Problem: playing with various optimisation algorithms

Jupyter Notebook tool enabling users to research, optimize, and manage their Fantasy Premier League teams.

This repo features my Jupyter notebook implementations of robotics learning and optimization codes, inspired by https://rcfs.ch/.

A collection of Jupyter (IJulia) notebooks demonstrating optimization techniques in Julia using JuMP. Forked from JuliaOpt.

Technician routing and resource assignment using mathematical optimization

Some curve estimation playground

A web notebook for exploring operations research problems