Zaccharie Ramzi's Projects
Sandbox for training deep learning networks
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Hardware accelerated, batchable and differentiable optimizers in JAX.
Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation is here: http://www.idris.fr/eng/jean-zay/
A utility to be able to launch jobs on JZ with reasonable defaults
Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
Deep Learning for humans
Industry-strength Computer Vision workflows with Keras
Utilities for working with image data, text data, and sequence data.
Keras integration with TQDM progress bars
A repo to host our code for the challenge suggested in the Kernel Methods course of MVA
Landmark Deep Equilibrium Model (LDEQ), applied to videos with a Recurrence without Recurrence (RwR) paradigm
Learned Primal-Dual Reconstruction
Python package to fetch data from the LIBSVM website.
Repo to keep my setups on different local instances. Inspired by: https://github.com/joejuzl/dotfiles
Mesh TensorFlow: Model Parallelism Made Easier
Models and examples built with TensorFlow
Modular Optimisation tools for solving inverse problems
Courses I take at MVA during my second PhD year.
A list of all the neural networks I have implemented
NHIS analysis project for the Parietal retreat 2019
Operator Discretization Library https://odlgroup.github.io/odl/
OptNet: Differentiable Optimization as a Layer in Neural Networks
Git du projet d'application final fait avec Nouha Chhih, Sébastien Lanaspèze et Mohamed Karim Karaa
Trying to parse ML conferences in order to know which institutions publish there
My defense presentation
Implementation of the work done in the Phylogenetic Hidden Markov Model by Adam Siepel and David Haussler
some materials I might need for code related presentations