Florent Forest's Projects
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Deep Clustering
:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Personal site and blog.
Git repository for teamwork on Google hashcode '17
Generation of recipes with a recurrent neural network.
A collection of useful but hard to remember personal finance formulas.
Implementation of the K-Spectral Centroid Algorithm in Python/Cython (with OpenMP), adapted for Python 3
:rocket: A simple Qt/OpenGL satellite orbit simulator
:cookie: Clustering stability analysis in Python with a scikit-learn compatible API.
Knowledge repository containing useful code snippets and command-line tricks for everyday
:globe_with_meridians: SOMperf: Self-organizing maps performance metrics and quality indices
:sparkles: Configuring a Spark application with Typesafe config (example application)
Spark Time Series Set data analysis
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
"From PCA to Autoencoders" course material
TD de statistiques descriptives : Introduction à Python pour la Data Science
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