AmrKhalifa

ML_DL-Tutorials

Supplementary Machine Learning and Deep Learning tutorial sessions with code to AMMI program 2019-2020 cohort.

Deep-Learning-With-Custom-Activation-Functions

Implementations-to-Machine-Learning-Algorithms

different machine learning algorithms implemented from scratch

Programming-skills-exercises

Reinforcing algorithmic and software engineering skills in Python.

3D-Indoor-localization-system

The project uses audio signals to locate objects in the 3D space.

Analysing-Diabetic-Foot-Ulcers-data

Cancer_relapse_prediction

predicting the possibility of cancer relapse from gene expression features.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

NN_Prunning

Pytorch-tutorials

PyTorch tutorials.

Semi-Supervised-Learning

Exploring semi supervised learning for image classification

Solutions-to-Computational-Neurosciene-assignments--coursera

Solutions-to-Deep-Learning-for-Computer-Vision-EECS-498-007-598-005-

Solutions-to-MIT-6.0002-Introduction-to-Computational-Thinking-and-Data-Science-assignments

MIT 6.0002 Introduction to Computational Thinking and Data Science assignments solutions

Zindi-Sendy-Logistics-Challenge

Our implementaions to the solution of Sendy Logistics Challenge

The-Use-of-Computational-Intelligence-for-Traffic-Light-Control

Using Reinforcement learning and hyper heuristics for optimal traffic light control

Utilizing-Variational-Auto-Encoder-Representations-to-Enhance-Neural-Networks-Adversarial-Robustness

Improving neural networks adversarial robustness

algovision

Differentiable Algorithms and Algorithmic Supervision.

diff-zoo

Differentiation for Hackers

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

IndabaX-Sudan-2019

Practical Sessions for IndabaX Sudan 2019

jaxton

100 exercises to learn JAX

mnist-c

natural-synthetic-anomalies

Playing-with-AutoEncoders

Implementation of vanilla autoEncoder, denoising autoEncoder and Variational AutoEncoder trained on FashionMNIST dataset.

pymc-resources

PyMC3 educational resources

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Solutions-to-CS224N-Natural-Language-Processing-with-Deep-Learning-

My solutions to CS224N: Natural Language Processing with Deep Learning winter 2019 version

VMLS-Companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.