Yousef Azizi's Projects
15 minute (small) desktop apps built with PyQt
Produce Kafka messages, consume them and upload into Cassandra, MongoDB.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
[deprecated] Compile, bundle, and release julia software
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
Atomic Simulation Environment - mirror of https://gitlab.com/ase/ase
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources
A curated list of Rust code and resources.
The repo for deployıng ML models wıth BentoML and AWS Lambda artıcle on Medıum.
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
Code for the paper: Towards Training Without Depth Limits: Large Batch Normalization Without Gradient Explosion.
A simple, Julian approach to inheritance of structure and methods
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Best Practices, code samples, and documentation for Computer Vision.
The Hugging Face course on Transformers
About Building a 2.3M-parameter LLM from scratch with LLaMA 1 architecture.
List of Computer Science courses with video lectures.
Public facing notes page
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Dask tutorial
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains implementations and illustrative code to accompany DeepMind publications
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Denoising Diffusion Probabilistic Models