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Zaccharie Ramzi (zaccharieramzi)

zaccharieramzi

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Company:Meta

Location:Paris

Home Page:https://zaccharieramzi.fr/

Twitter:@ZaccharieRamzi

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Zaccharie Ramzi's starred repositories

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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point-e

Point cloud diffusion for 3D model synthesis

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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imgclsmob

Sandbox for training deep learning networks

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action-tmate

Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.

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jupyterlab-lsp

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

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optax

Optax is a gradient processing and optimization library for JAX.

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lovely-tensors

Tensors, for human consumption

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keras-cv

Industry-strength Computer Vision workflows with Keras

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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

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tueplots

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

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diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

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orbax

Orbax provides common utility libraries for JAX users.

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score-denoise

:snowflake: Score-Based Point Cloud Denoising (ICCV 2021)

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functa

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lovely-jax

JAX Arrays for human consumption

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mri-nufft

Doing non-Cartesian MR Imaging has never been so easy.

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template_benchmark

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HAPPIER

This repo contains the official implementation of HAPPIER: Hierarchical Average Precision Training for Pertinent Image Retrieval (ECCV'22).

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Conservation_laws

Code for the paper: "Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows".

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BioMime

A deep latent generative model for learning biosystems

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resnet_nodes

Do ResNets discretize Neural ODEs?

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NeuroMotion

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ELDER

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muse-implicit-paper

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IntrotoGNN

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joint_optimization_mri

Repository to hold implementations for Joint optimization of sampling and reconstructions of MRI.

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benchmark_image_inverse_problem

Benchmarking inverse problem solvers on images

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FlowResNets

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bechopt_pysap_mri

Benchmarking for MRI reconstruction using PySap MRI & Benchopt Package

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