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MUHAMMAD UMAR's Projects

applied-ml icon applied-ml

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

augmix icon augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome_bigdata_ai_drugdiscovery icon awesome_bigdata_ai_drugdiscovery

A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

code-cheatsheet icon code-cheatsheet

Markdown notes/code samples on many the CS Topics I've learned, because I keep forgetting/relooking up the same basics

d2l-en icon d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-review icon deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning-cfn icon deeplearning-cfn

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dltk icon dltk

Deep Learning Toolkit for Medical Image Analysis

ethereumbook icon ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

facebook-pytorch-scholarship-challenge icon facebook-pytorch-scholarship-challenge

This repository contains the content that is related to the Phase One of the PyTorch Scholarship Challenge Program from Facebook and Udacity. For this phase, 10,000 Candidates worldwide, including me, were selected to take part in this challenge. Out of these, 300 will be selected for Phase Two. UPDATE: I got selected for Phase Two!

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