aschoenauer-sebag's Stars
mlcommons/modelgauge
Make it easy to automatically and uniformly measure the behavior of many AI Systems.
wroberts/rogauracore
RGB keyboard control for Asus ROG laptops
AltschulerWu-Lab/MuLANN
Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
openopt/chop
CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
InseeFrLab/onyxia
🔬 Data science environment for k8s
spyrales/copyre-alpha
Préparation d'une communauté python & R dans l'Etat (en période de Coronavirus)
bmabey/pyLDAvis
Python library for interactive topic model visualization. Port of the R LDAvis package.
webermarcolivier/statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
etalab/algorithmes-publics
Guide sur les algorithmes publics Ă l'usage des administrations
GeoffNN/ReadingNotes
riatelab/magrit
Thematic cartography entirely in the browser ♥
thuml/MADA
Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
torch/tutorials
A series of machine learning tutorials for Torch7
jwyang/JULE.torch
Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"
jcboyd/deep-learning-workshop
https://jcboyd.github.io/assets/deep-learning-workshop/main.html
clementfarabet/manifold
A package to manipulate manifolds.
google-deepmind/torch-distributions
Probability distributions, wrapped for Torch.
ThomasWalter/drug_screen
scripts and results for the drug screen
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow