Zaccharie Ramzi's Projects
Training a ResNet18 on CIFAR10 with PyTorch and Keras
Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons
General python utilities
Looking at ballon d'or data to draw ccl about the best players of all time
Benchopt benchmark for Lasso
Benchmark for Optimal transport libraries
Making your benchmark of optimization algorithms simple and open
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Resources for communication on Benchopt
Converter tools for Core ML.
Deploy Dask on job schedulers like PBS, SLURM, and SGE
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
[NeurIPS'19] Deep Equilibrium Models
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
A large-scale dataset of both raw MRI measurements and clinical MRI images
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
Flax is a neural network library for JAX that is designed for flexibility.
A very sparse repo to practice the basics of git and GitHub flow in open source
Technical challenge
Project for Graphs in machine learning class : correlation clustering
A repository to experiment on GRAPPA, with a TF backend. It also features some experiments on deep versions of GRAPPA
Code for the bi-level experiments of the ICLR 2022 paper "SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models" (on branch shine)
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Hydra is a framework for elegantly configuring complex applications
Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)