aelnouby

Text-to-Image-Synthesis

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

Readings-Summaries

Cross-Dataset-Action-Detection

Implementation of a Cross Dataset framework that both detects actions in a crowded scenes and adapt Models from a Source datset to a new Target dataset with minumum annotaions needed.

Relational-Networks

Pytorch implementation of " A simple neural network module for relational reasoning" paper aka Relational networks for visual reasoning.

Udacity-Deep-Learning-Assignments

aelnouby.github.io

Personal Website

awesome-action-recognition

A curated list of action recognition and related area resources

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

GeNeVA

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

xcit-1

Official code Cross-Covariance Image Transformer (XCiT)

AlexNet_Tensorflow

AlexNet implementation as a way to learn tensorflow, applying the implementation on Dogs vs Cats Dataset from kaggle

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

compression

Data compression in TensorFlow

courses

fast.ai Courses

CS231n_Assignments

Stanford's CS231n (CNN for visual recognition) assignments solutions

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Kaggle-Codes

Codes of My participations on Kaggle

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

nmatrix

Dense and sparse linear algebra library for Ruby via SciRuby

pgmpy

Python Library for Probabilistic Graphical Models

pgmpy_notebook

Getting Started guide to PGM and pgmpy

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

shogun

The Shogun Machine Learning Toolbox (Source Code)

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

Tensorflow_Convolutional-Network-MNIST

Digit Recognizer Kaggle challenge solution with CNN using tensorflow

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.