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sylvaincom.github.io Public
Forked from academicpages/academicpages.github.ioMy website
HTML MIT License UpdatedDec 5, 2024 -
d-symb Public
[ICDMW 2023] Python implementation of d_{symb}: "An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals"
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solah Public
Forked from koaning/solahVery basic solar regression
Python MIT License UpdatedNov 29, 2024 -
astride Public
[EUSIPCO 2024] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"
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scikit-learn Public
Forked from scikit-learn/scikit-learnscikit-learn: machine learning in Python
Python BSD 3-Clause "New" or "Revised" License UpdatedNov 20, 2024 -
hazardous Public
Forked from soda-inria/hazardousCompeting Risks and Survival Analysis
Python MIT License UpdatedNov 17, 2024 -
github_tutorial Public
A gentle introduction to GitHub and GitHub actions by using GitHub Desktop
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github-assignment Public
Forked from mathurinm/github-assignmentPython BSD 2-Clause "Simplified" License UpdatedNov 8, 2024 -
skfin Public
Forked from schampon/skfinMachine learning for portfolio management and trading with scikit-learn
Jupyter Notebook MIT License UpdatedNov 7, 2024 -
skore Public
Forked from probabl-ai/skoreSkore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.
Python MIT License UpdatedNov 6, 2024 -
pyds_lectures Public
Python for Data Science lectures
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symb-rep Public
[EUSIPCO 2024] Python implementation of ASTRIDE: "Symbolic representation for time series"
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comparison-distributions Public
[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.
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medgan-tips Public
[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.
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anomaly-detection-PCA Public
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
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C-for-data-science Public
C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.
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high-dimensional-statistics Public
[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy