Name: Youssef
Type: User
Company: FAU / Ecole Polytechnique / ENS
Bio: PhD candidate, in Quantum Computing & ML @ BMW, FAU, Cerfacs and Pasqal.
Organization: QuantX & PushQuantum
Attended #ICML2016 and #NIPS2016
Twitter: AchariBerrada
Location: Munich, Germany.
Blog: linkedin.com/in/abyoussef/en
Youssef's Projects
Assignment for the course Learning for text and graph data
Assignment in the course of Object Recognition and Computer Vision
My assignments in the course of Probabilistic Graphical Models by Francis Bach and Guillaume Obozinski
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Implementation of a Multimodal Deep Boltzmann Machine with Tensorflow.
Learning joint representation with a Multimodal Deep Boltzmann Machine
Team X++
Imaging, analysis, and simulation software for radio interferometry
Google challenge code foobar
A collection of useful .gitignore templates
Implementation of HK opinion dynamics model with MPI.
Home data science assignement
Labs for the Ivy Data Science Labs in Tensorflow.
Kaggle Challenge in the course of Kernel.
Lattice Builder: A General Software Tool for Constructing Rank-1 Lattice Rules
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Assignments for the course of MCMC methods.
Course Project on Monte Carlo (MAP564)
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Notebooks for MXNet
Word2vec and sentence classification with RNN(LSTMs) and Temporal Convolutional Neural Networks(1D ConvNets)
A code for constructing rank-1 polynomial lattice rules.
QHack Challenge solutions for the team PushQuantum
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Assignments in the Rienforcement Learning course by (A. Lazaric)
Rubik's cube solver using a probabilistic graph exploration method.