Robust and reusable Executor for joblib

scikit-learn: machine learning in Python

Making your benchmark of optimization algorithms simple and open

Repository containing code for running DeepInverse benchmarks

BenchOpt benchmark results

NeuroImaging with Deep Learning (NIDL) in Python

A statistical learning toolkit for high-dimensional Hawkes processes in Python

Simulation-based inference benchmark

Using BenchOpt to benchmark sbi-algorithms.

Python function as pipeline jobs.

Convolution dictionary learning for noisy signals using αCSC

Github action that builds docs using sphinx and places errors inline

Extended pickling support for Python objects

Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwRWB0

Benchopt benchmark for L2-regularized Logistic Regression

Benchopt benchmark for Lasso

Equivariant plug-and-play algorithms

PyTorch library for solving imaging inverse problems using deep learning