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cogspaces

Multi-study decoding models for task functional MRI data.

covidom_analysis

Code for analyzing Covidom data

deep-fmri

Deep fMRI

didyprog

Differentiable Dynamic Programming

dseg

Doubly stochastic extra-gradient

g-softmax

Pytorch package for geometric softmax

geomloss

Geometric loss functions between point clouds, images and volumes

gitignore

A collection of useful .gitignore templates

hcp_builder

Download and run GLM on HCP

joblib

Python function as pipeline jobs.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lightning

Large-scale linear classification, regression and ranking in Python

macao-hustle

Reinforcement Learning Project - EXP3 on Graphs

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

mne-hcp

MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python

modl

Randomized online matrix factorization

multi_gan

Multiple GANs

nilearn

Machine learning for NeuroImaging in Python

nilearn_sandbox

Playground for nilearn compatible features.

nistats

Modeling and statistical inference on fMRI data in Python

numerical_analysis

Jupyter notebooks for Numerical Analysis (ENSAE 1A)

onlikorn

The one and only online Sinkhorn

online_sinkhorn

pipelines

playground

PlayGround: AI Research into Multi-Agent Learning.

projectinfsi350

Projet de INFSI350 - Coordonnées de Green

pypreprocess

Preprocessing scripts for neuro imaging

ray

A fast and simple framework for building and running distributed applications.

scikit-learn

scikit-learn: machine learning in Python