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Mohamed Ragab's Projects

adast icon adast

Implementation of the work: "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

amda icon amda

This is an implementation of single source multiple target domain adaptation for fault diagnosis

cada icon cada

This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.

ccdg icon ccdg

Conditional Contrastive Domain Generalization For Fault Diagnosis

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

da icon da

Domain Adaptation Papers and Code

dada-aaai2020 icon dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020)

data-augmentation-review icon data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

dl-with-bayes icon dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

dl_ts_framework icon dl_ts_framework

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

libgit2 icon libgit2

A cross-platform, linkable library implementation of Git that you can use in your application.

maml icon maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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