Dr.-Ing. Mohamed Abdelaal (mohamedyd)

mohamedyd

Geek Repo

Company:Software AG

Location:Germany

Home Page:https://mohamedyd.github.io/

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Dr.-Ing. Mohamed Abdelaal's repositories

awesome_resources

A collection of resources in different domains

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rein-benchmark

A comprehensive benchmark for data cleaning methods and their impact of ML models

Energy_efficient-WSNs

Time-series prediction for energy-efficient wireless sensor networks: Case study of detectinng plants' diseases in greenhouses

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SAGED

Source code of the paper: SAGED: Few-Shot Meta Learning for Tabular Data Error Detection

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AI-ML-Driven-Companies-In-Egypt

A list of AI/ML driven companies in Egypt

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augur-code

Augur is a toolset that helps simulate and detect drift in different types of datasets, to define the best metrics that can be used to predict drift before it happens.

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AutoCure

Source code of the paper AutoCure: Automated Tabular Data Curation for ML Pipelines

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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D3Bench

Source code of the benchmark of open-source drift detection tools

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data-centric-ai

Resources for Data Centric AI

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data_cleaning_with_latent_operators

Code repository for the LOP paper on data cleaning.

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DatasetCondensation

Dataset Condensation (ICLR21 and ICML21)

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DistributionalShapley

Distributional Shapley: A Distributional Framework for Data Valuation

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egyptians-in-ai

A website dedicated to showcasing the profiles of prominent Egyptian researchers in the field of AI.

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Failed-ML

Compilation of high-profile real-world examples of failed machine learning projects

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google-research

Google Research

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opendataval

OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)

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ReClean

Source code of the paper "ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines"

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robocon_egypt_2008

Design and implementation of two mobile robots and a manual robot

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sato

Code and data for Sato https://arxiv.org/abs/1911.06311.

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SEED

SEED: Domain-Specific Data Curation With Large Language Models

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sherlock-project

This repository provides data and scripts to use Sherlock, a neural-network based model to detect semantic data types. https://sherlock.media.mit.edu

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thin-ML-deployment

Template for quickly deploying any machine learning model to an endpoint

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