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  • 👋 Hi, I’m @yousefazizi1982
  • 👀 I’m interested in machine learning, computational neuroscience, physics and mathmetics
  • 🌱 I’m currently learning AI machine developing for markets
  • 💞️ I’m looking to collaborate on machine learning, AI eingineering, and anything related to computational and modelling.
  • 📫 How to reach me: email: [email protected]

Yousef Azizi's Projects

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

alphazero.jl icon alphazero.jl

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

animateddrawings icon animateddrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

arman icon arman

ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization

ase icon ase

Atomic Simulation Environment - mirror of https://gitlab.com/ase/ase

auto-cot icon auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

awesome-neural-ode icon awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-persian-nlp-ir icon awesome-persian-nlp-ir

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

best-of-python icon best-of-python

🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

bngrad icon bngrad

Code for the paper: Towards Training Without Depth Limits: Large Batch Normalization Without Gradient Explosion.

classes.jl icon classes.jl

A simple, Julian approach to inheritance of structure and methods

code2vec icon code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

diffeqflux.jl icon diffeqflux.jl

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

diffrax icon diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

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