Eslam Zaher (eszaher)

eszaher

Geek Repo

Company:The University of Queensland

Location:Brisbane

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Eslam Zaher's repositories

Manifold-Integrated-Gradients

Repository for Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

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applied-ml

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

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awesome-mlops

A curated list of references for MLOps

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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

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captum

Model interpretability and understanding for PyTorch

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Data-science

Collection of useful data science topics along with code and articles

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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Fully-Convolutional-Networks-for-Semantic-Segmentation

A full Keras implementation of Fully Convoltional Networks (FCNs) for the task of semantic image segmentation.

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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

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GNNPapers

Must-read papers on graph neural networks (GNN)

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POC-Nokia

POC on multi-variate forecasting to assess performance degradation of 4G & 5G radio cells

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InterpretationFragility

Interpretation of Neural Network is Fragile

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ivy

The Unified Machine Learning Framework

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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

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Pytorch-Adversarial-Training-CIFAR

This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

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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.

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