A framework for reproducible, comparable benchmarks

ML potentials via transfer learning

Post-hoc EMA synthesis for PyTorch

Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

A Python package to learn the Koopman operator.

A collaboration friendly studio for NeRFs

A simple C++ header-only library for fastest sorting of small arrays. Generates sorting networks on compile time via templates.

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

CKN for images

Large-scale, multi-GPU capable, kernel solver

Benchmark of kernel matrix-vector products and inversions (regression, system resolution).

VisionTool: a toolbox for semantic features extraction

Aggregate multiple tensorboard runs to new summary or csv files

Python package to fetch data from the LIBSVM website.

EigenPro2 iteration in Tensorflow (Keras)

Time series analysis suite

FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

Road extraction from aerial images