GuillaumeStaermanML

GuillaumeStaermanML's Stars

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.6k2.1k11.2k25.3k

• nilearn/nilearn

  Machine learning for NeuroImaging in Python

  Language:Python1.2k702.1k590

• benchopt/benchopt

  Making your benchmark of optimization algorithms simple and open

  Language:Python244627061

• alphacsc/alphacsc

  Convolution dictionary learning for time-series

  Language:Python120124638

• pierreablin/autoptim

  Automatic differentiation + optimization

  Language:Python104219

• yangalan123/TemporalPointProcessPapers

  Paper lists for Temporal Point Process

  97709

• bottler/iisignature

  Iterated integral signature calculations

  Language:C++92132319

• PierreColombo/nlg_eval_via_simi_measures

  NLG evaluation via Statistical Measures of Similarity: BaryScore, DepthScore, InfoLM

  Language:Jupyter Notebook41397

• kimiandj/gsw

  Language:Jupyter Notebook392010

• GuillaumeStaermanML/FIF

  Source code for the ACML 2019 paper "Functional Isolation Forest".

  Language:Jupyter Notebook20352

• PierreColombo/RankingNLPSystems

  What are the best Systems? New Perspectives on NLP Benchmarking

  Language:Jupyter Notebook13113

• GuillaumeStaermanML/MoM-Wasserstein

  Source code of the AISTATS 2021 Paper: "When OT meets MoM: a robust estimation of the Wasserstein distance".

  Language:Python8102

• GuillaumeStaermanML/AIIRW

  Source code of Electronic Journal of Statistics (2023) paper: the Affine-Invariant Integrated Rank-Weighted depth

  Language:Jupyter Notebook6100

• CedricAllain/dripp

  This repository is the official implementation of DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals.

  Language:Python50

• GuillaumeStaermanML/ACHD

  Source code for the AISTATS 2020 paper "The Area of the Convex Hull of Sampled Curves".

  Language:C5212

• mind-inria/FaDIn

  Documentation

  Language:Python5421

• debarghya-mukherjee/Robust-Optimal-Transport

  Language:Python410

• GuillaumeStaermanML/DRPM

  Source code of TMLR 2024 paper: the Depth-Trimmed Regions based Pseudo-Metric

  Language:Python40

• mcampi111/EMD-Stochastic-Embedding-for-PD-Speech

  Repository with data and code of the paper "Ataxic Speech Disorders and Parkinson's Disease Diagnostics via Stochastic Embedding of Empirical Mode Decomposition"

  Language:Jupyter Notebook4100

• mcampi111/EMD-MFCC-SVM-Speech

  Repository with data and code of the paper "Machine Learning Mitigants for Speech Based Cyber Risk" that can be found at https://ieeexplore.ieee.org/document/9555610

  Language:R3100

• mcampi111/c-VEMPs-in-healthy-children-bone-vs-air-conduction-normative-values

  R code for data analysis of the paper named Cervical vestibular evoked myogenic potentials (c-VEMPs) in healthy children: bone vs air conduction normative values

  Language:R1100