tomMoral

loky

Robust and reusable Executor for joblib

benchmark_classification

python-master-dauphine

Cours d'introduction à Python pour le machine learning pour le Executive Master Statistique et Big Data de Dauphine

benchmark_bci

Benchmark for Brain Computer Interface methods

benchmark_lasso

Benchopt benchmark for Lasso

braindecode

Deep learning software to decode EEG or MEG signals

deepinv

PyTorch library for solving imaging inverse problems using deep learning

joblib

Python function as pipeline jobs.

benchmark_csc

Benchmark for Convolutional Sparse Coding

benchmark_glm

Benchmark for GLM model

benchmark_logreg_l2

Benchopt benchmark for L2-regularized Logistic Regression

benchmark_nmf

benchmark_resnet_classif

Benchopt benchmark for ResNet fitting on a classification task

benchmark_sbi

Using BenchOpt to benchmark sbi-algorithms.

benchmark_sparse_support_recovery

Benchopt benchmark for Sparse Support Recovery

benchmark_sparse_support_recovery-1

Benchopt benchmark for sparse support recovery problems.

benchmark_tv_1d

TV Denoising in 1D

benchopt

Making your benchmark of optimization algorithms simple and open

cloudpickle

Extended pickling support for Python objects

copt

A Python library for mathematical optimization

FaDIn

Documentation

moabb

Mother of All BCI Benchmarks

palaisien.django

django website for the palaisien

POT

POT : Python Optimal Transport

sbi

Simulation-based inference in PyTorch

skada

Domain adaptation toolbox compatible with scikit-learn and pytorch

slides_deck

Slide deck

stats-335_tabular_data

classification benchmark on tabular data for STATS 335

template_benchmark

tomMoral.github.io

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