Mostopha Labib's repositories
tofi_windows_hypr
A bash script for switching window focus in Hyperland
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Bash-Cheat-Sheet
A cheat sheet for bash commands.
cgcnn
Crystal graph convolutional neural networks for predicting material properties.
cheats.rs
Rust Language Cheat Sheet - https://cheats.rs
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
fractal
Fractals written in Python
gruvbox-contrib
Ports of the gruvbox colorscheme
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
mandelbrotnn
Torturing neural networks by forcing them to learn the Mandelbrot set.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
nomad_2018_kaggle_dataset
Dataset for the Nomad 2018 Kaggle competition (https://www.kaggle.com/c/nomad2018-predict-transparent-conductors)
noncomplete
Config files for my GitHub profile.
noncomplete.github.io
Build a Jekyll blog in minutes, without touching the command line.
noncomplete_dotfiles
Dotfile management for my archlinux environment
project-based-learning
Curated list of project-based tutorials
pydatadc_2018-tidy
PyData 2018 tutorial for tidying data
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch_notebooks
🔥A collection of PyTorch notebooks for learning and practicing deep learning
Rust
All Algorithms implemented in Rust
unleash_cpp
EuroPython 2019 Talk
wannier_tools
WannierTools: An open-source software package for novel topological materials. Full documentation: