Ali Elabridi (alielabridi)

alielabridi

Geek Repo

Company:École polytechnique fédérale de Lausanne

Location:Lausanne, Switzerland

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Ali Elabridi's repositories

Image-recognition-reCaptcha-TensorFlow

Image recognition using Machine Learning, Tensorflow and Google Inception Neural Networks to fool the Recaptcha System for Recognition of Bots. Demonstration:

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Strassen-Algorithm-parallelization-charmplusplus-

Strassen Algorithm parallelization using Charm++ paradigm of migratable objects (Chares)

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Artificial-Intelligence-CSC3309-AUI

Compact Search Engine that uses DFS, BFS, Greedy, A*, DLS, UCS algorithms to solve AI problems

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Weakly-Solving-Three-Musketeers-Game

Weakly solving the three musketeers game using minimax algorithm, alpha-beta prunning, symmetry checking, and zobrist hashing

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AUI-IDs

this JSON array represents information (id,firstname, lastname) of the different students,

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Satellite-Image-Classification

Machine Learning Project - Road Segmentation using Convolutional Neural Networks with Keras and Tensorflow

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Utopic-Voting-System

Open auditable I-voting based on homomorphic encryption and decentralized tallying with multiple trustees holding partial encryption keys.

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C-language-exercises

C language exercises to help you practice the basic of programming

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eventProject

Pikelife - share events dot com

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google-interview-university

A complete daily plan for studying to become a Google software engineer.

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graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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HCI-calendar-view-project

calendar view of the project of human computer interaction in AUI

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Kattis

Solutions to some problems at https://open.kattis.com/

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Mini-Deep-Learning-Framework

Mini-Deep-Learning-Framework implementing forward and backpropagation similar to Pytorch NN

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ntds_2019-1

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

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Pytorch-Siamese-Network-MNIST

Comparing Siamese networks on MNIST dataset using Pytorch

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radical-shapley-values

Python code to directly compute "radical" Shapley values for model features, by re-training the model on a subset of features on each iteration.

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ScantoSign

Android App to register in Google Spreadsheets using QR codes

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