Mohammad Reza Askari (rezaaskary)

rezaaskary

Geek Repo

Company:Novo Nordisk

Location:Ellicott City, MD

Home Page:https://www.researchgate.net/profile/Mohammad-Reza-Askari

Twitter:@Mohamma48525561

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Mohammad Reza Askari's repositories

Optimization-and-probabilistic-modeling

A probabilistic programing library empowered with jax to speed up large simulations (still in progress!)

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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material-dashboard

Material Dashboard - Open Source Bootstrap 5 Material Design Admin

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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tensorflow

An Open Source Machine Learning Framework for Everyone

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alphafold

Open source code for AlphaFold.

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Awesome-Profile-README-templates

A collection of awesome readme templates to display on your profile

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biology-for-ai

learning biology syllabus, geared for machine learning folks

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ChemGAN-challenge

Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

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PyTorch_Compile_Module

A wrapper written to ease compiling PyTorch models

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Deep-learning-practice

Understanding Deep Learning - Simon J.D. Prince

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deep-molecular-optimization

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

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deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

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NodeCoder

NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.

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Null-Hypothesis

different types of significance test for P-value calculation

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probabilistic-modeling

A probabilistic programing library empowered with jax to speed up large simulations (still in progress!)

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pymc

Bayesian Modeling and Probabilistic Programming in Python

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

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Transformers-Recipe

🧠 A study guide to learn about Transformers

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