ahmedbahaaeldin

ahmedbahaaeldin

Geek Repo

Company:Microsoft

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ahmedbahaaeldin's repositories

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Introduction-to-NLP-Class

Introduction to NLP class at Zewail City. This repo contains all the resources and materials for students

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Algorithms-Practice

This repo is created to keep track of my advancement in Problem Solving

Machine-Leanring-From-Scratch

Machine Learning different algorithms from scratch without any external libraries.

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Papers-from-Scratch

This repo aim is to implement Deep Learning Research papers from scratch to gain a better intuition and practice the ability to replicate results.

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Topic-Detection-in-arabic

Bidirectional LSTM model with conv1D , Bidirectional LSTM model only and conv1D only , 3 models for testing the most efficient way for topic detection

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CS224n-Solutions

This Repo include my solutions to cs224n 2019 course teached by christopher manning

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16-bit-processor-implemented-by-VHDL

16 bit processor implemented by VHDL on Model Sim

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A-compiler-Project

compiler implemented by lexx ,yacc and regular expressions

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arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

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attention-network

PyTorch Implementation for Global and Local Attention Network

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bittensor

Internet-scale Neural Networks

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deeplearning.ai-Specialisation-

My solutions to coursera deeplearning.ai Specialisations

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MNIST-Data-Set-Deep-learning-Practice

Achived 98.7% accuracy from the model i created using tensorflow

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Pain-Point-Detection

This project aims predict the pain point category according to the user input text.

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Pytorch-Challenge-Model

My final submission for the Facebook Pytorch challenge

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Search-Engine

Fully implemented search engine using java

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Tensorflow-pruning-

Tensorflow implementation of the two pruning techniques :

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Word-Embeddings-From-scratch

Word Embedding models implemented using python from scratch

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