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autopandas

Process, visualize and use data easily.

binaryconnect

Binarisation des poids de réseaux neuronnaux durant l'entraînement et application à la classification d'images

causality

Heart Attack: Causality Challenge

chagrade-debug

codalab-metadata

Collection of metadata from competitions organized on CodaLab

codalab.github.io

Main CodaLab landing page.

competition-metageneralization

Reproducible experiments to show that filtering participants improves generalization in competitions and benchmarks

competitions-v1-compute-worker

credit

Mini projet M2 AIC - Equipe Crédit

eel-bnn

Evoluationary Ensemble Learning for Binary Neural Networks

fully-leafed-subtrees

Étude de problèmes combinatoires en théorie des graphes : fully leafed subtrees, tree-in-the-box...

generators

Generators Jungle

hsmusic

Huge Symbolic Music Dataset

info232

This GitHub repository aims to share teaching resources for L2 students enrolled in the course INFO232 (mini-projet) at Université Paris Sud / Paris-Saclay.

l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

magent

A Platform for Many-agent Reinforcement Learning

medgan

Generative adversarial network for generating electronic health records.

medi-chal

Provide access to medical data through data generation and challenges

ml-benchmarks

A set of Datasets-Algorithms score matrices

notes

Prise de notes pour les cours de Master 2 Apprentissage, Information et Contenu (AIC)

projet_tal

Traitement Automatique des Langues : Extraction d'information et classification par genre de pièces de théâtre classique français.

ranking-esann-2021

ranky

Compute rankings in Python.

spark

TER individualisé: Spark pour Map-Reduce distribués sur des ensembles définis récursivement

speech-recognition

Algorithm that understands simple speech commands

transfer-autoencoder

Train an autoencoder to model data from many sources. Then use it for feature extraction.

typos-correction

The goal is to design a model to correct typos in texts without a dictionaries, using second order hidden Markov model (HMM).

youtube-challenge

Youtube Challenge RAMP starting kit