amhijazi

adatune

Gradient based Hyperparameter Tuning library in PyTorch

amhijazi.com

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

Branch-and-price-

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

Fast-Pandas

Benchmark for different operations in pandas against various dataframe sizes.

galant

Graph Algorithm Animation Tool

GNNPapers

Must-read papers on graph neural networks (GNN)

Go-ICP

Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

Gravity

Mathematical Modeling for Optimization and Machine Learning

IJOC2022-Managing-Product-Transitions

This repositoy containt Cpp codes developed for the IJOC paper "Managing Product Transitions: A Bilevel Programming Approach"

learntocut

Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

Mastering-Reinforcement-Learning-with-Python

Mastering Reinforcement Learning with Python, published by Packt

muzero-general

MuZero

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Operations-Research

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

pandas-Optimization-Tutorial

Notebooks, sample data and slides from a tutorial on using pandas for Optimization

personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

set_transformer

A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.