Eslam Zaher's repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-mlops
A curated list of references for MLOps
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
captum
Model interpretability and understanding for PyTorch
Data-science
Collection of useful data science topics along with code and articles
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Fully-Convolutional-Networks-for-Semantic-Segmentation
A full Keras implementation of Fully Convoltional Networks (FCNs) for the task of semantic image segmentation.
GNNPapers
Must-read papers on graph neural networks (GNN)
POC-Nokia
POC on multi-variate forecasting to assess performance degradation of 4G & 5G radio cells
Gesture-Control-System-with-Raspberry-Pi
This project is using IMU (MPU6050) as a sensor and servo as actuator, the sensor and raspberry pi is controlling its position
InterpretationFragility
Interpretation of Neural Network is Fragile
ivy
The Unified Machine Learning Framework
ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln La
Pytorch-Adversarial-Training-CIFAR
This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
Quantum-Computing-Projects
A series of computational projects in MATLAB simulating some of the fundamental processes in quantum computing, including measurement of quantum states and creation of qubit gates. The projects also contain simulations of some of the algorithms that have given this field such promise, such as the Grover search algorithm and Shor's factoring algorithm. Future additions to this project will include quantum error correcting algorithms and simulations of topological quantum computing.