Feature importance techniques for classification

Tools to Design or Visualize Architecture of Neural Network

A Library of Optimization Problem Libraries

Using OR-Tools to solve Solomon instances

Genetic algorithm tuned through reinforcement learning

Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

Code from the paper An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents."

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning

Fit interpretable models. Explain blackbox machine learning.

A game theoretic approach to explain the output of any machine learning model.

Easiest way to generate counterfactual explanations

Lime: Explaining the predictions of any machine learning classifier

DPDP

Grokking Deep Reinforcement Learning

Online Knapsack Problem Using Reinforcement Learning through Model Free Q-Learning

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Drones deliver packages to clients using Reinforcement Learning Algorithms (determinstic and probabilistic)

Project made during my internship at LERIA for my master's degree.

Dynamic MKP dataset generator command line interface program

PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams