🦖
PhD Student in Self-Supervised Detection and Explanation of Anomalies in Time Series
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Orange
- France
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23:24
(UTC +02:00) - https://marcpinet.fr/
- https://orcid.org/0009-0008-3955-2642
- in/marc-pinet
- @marcpinet0
- https://scholar.google.com/citations?user=NsXT970AAAAJ
Highlights
- Pro
Pinned Loading
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neuralnetlib
neuralnetlib Public🧠 A flexible machine & deep learning framework built from scratch using only NumPy
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mtsad-benchmarks-are-mostly-univariate
mtsad-benchmarks-are-mostly-univariate Public🔍 Evidence that current multivariate time series anomaly detection benchmarks don't actually test cross-channel modeling.
Jupyter Notebook 1
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epidemic-modeling
epidemic-modeling Public🦠 Python script that simulates a pandemic using moving dots with tweakable parameters and then generates a graph according to obtained values. Made as part of a school project.
Python 4
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