Pinned Repositories
articles-clustering
This application uses k-means ,TF-IDF and mysql to create a set of related articles .....
botbuilder-dotnet
.NET SDK used to build chat bots for the Microsoft Bot Framework.
challenge-aido_LF-baseline-dagger-pytorch
imitation learning baseline with dataset aggregation.
cyclic-gan-music-source-separation
Project exploring music source separation using Cyclic GAN in the waveform domain as in wavgan
gan-random-projection-pytorch
A notebook explaining the difference between DCGAN and using multiple random projections to train several discriminators
generalization-gap-features-tensorflow
Features extractors for tensorflow models used to estimate generalization gap
image-features-extraction-for-adclicking
This module is used to extract image features that can be later used for ad clicking prediction as in https://maths-people.anu.edu.au/~johnm/courses/mathdm/talks/dimitri-clickadvert.pdf .
Numpy-MLP-MNIST
an mlp model made using numpy for learning purposes on MNIST dataset
Tensorflow-Keyword-Spotting
Keyword spotting using various architecture like convolutional vggnet , 1D convolutional network and CTC.
wavegan-pytorch
Pytorch Implementation of wavegan model to generate audio
mostafaelaraby's Repositories
mostafaelaraby/wavegan-pytorch
Pytorch Implementation of wavegan model to generate audio
mostafaelaraby/Tensorflow-Keyword-Spotting
Keyword spotting using various architecture like convolutional vggnet , 1D convolutional network and CTC.
mostafaelaraby/cyclic-gan-music-source-separation
Project exploring music source separation using Cyclic GAN in the waveform domain as in wavgan
mostafaelaraby/gan-random-projection-pytorch
A notebook explaining the difference between DCGAN and using multiple random projections to train several discriminators
mostafaelaraby/challenge-aido_LF-baseline-dagger-pytorch
imitation learning baseline with dataset aggregation.
mostafaelaraby/generalization-gap-features-tensorflow
Features extractors for tensorflow models used to estimate generalization gap
mostafaelaraby/image-features-extraction-for-adclicking
This module is used to extract image features that can be later used for ad clicking prediction as in https://maths-people.anu.edu.au/~johnm/courses/mathdm/talks/dimitri-clickadvert.pdf .
mostafaelaraby/Numpy-MLP-MNIST
an mlp model made using numpy for learning purposes on MNIST dataset
mostafaelaraby/articles-clustering
This application uses k-means ,TF-IDF and mysql to create a set of related articles .....
mostafaelaraby/BACS-Continual-Semantic-Segmentation
A novel framework that uses foreground class prototypes along with dark experience replay to alleviate both catastrophic forgetting and background shift in semantic segmentation (where old classes are having ground truth background in future tasks).
mostafaelaraby/botbuilder-dotnet
.NET SDK used to build chat bots for the Microsoft Bot Framework.
mostafaelaraby/Real-DEEL-Dark-Experience
Entry for CL vision workshop CVPR@21 under name Real-Deel https://eval.ai/web/challenges/challenge-page/829/overview
mostafaelaraby/space_war
html5 space war game using pixi.js
mostafaelaraby/botbuilder-js
JavaScript SDK used to build chat bots for the Microsoft Bot Framework.
mostafaelaraby/cvxpy
A Python-embedded modeling language for convex optimization problems.
mostafaelaraby/docs-AIDO
mostafaelaraby/duckietown-world
mostafaelaraby/gym-duckietown
Self-driving car simulator for the Duckietown universe
mostafaelaraby/hfs
A simple approach towards Distributed File System File systems over the network was introduced as an approach of sharing files over the network, which was at the time of small number of computers acceptable performance but with the growth of the internet and the growth of the data there was a need to a highly available approach to reach all the files over the network in high-speed, with the need for that files among the network appears to be on the same disk.
mostafaelaraby/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
mostafaelaraby/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
mostafaelaraby/ModelGenerationSimulink
mostafaelaraby/mooc-exercises
mostafaelaraby/mostafaelaraby
mostafaelaraby/moustafa_elarabi_hw2_duckietown
mostafaelaraby/OOD_papers
Out Of Distribution Detection Papers List
mostafaelaraby/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
mostafaelaraby/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
mostafaelaraby/Sequoia
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
mostafaelaraby/udem-fall19-public
Public accompanying repository for Universite de Montreal's IFT 6757: Autnonomous Vehicles, Fall 2019.