Amira Hijazi's repositories
adatune
Gradient based Hyperparameter Tuning library in PyTorch
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.