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Adrien Todeschini (adrtod)

adrtod

Geek Repo

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Location:Bordeaux, France

Home Page:https://adrien.tspace.fr/

Twitter:@adrtod

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Organizations
biips
dataforgoodfr
ICMLRecommender
xbros

Adrien Todeschini's repositories

rchallenge

A simple datascience challenge system using R Markdown and Dropbox.

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hasi

Hierarchical Adaptive Soft Impute

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rfastfm

R interface to the fastFM library

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adrtod.github.io

Adrien Todeschini website

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F2M

A high performance C++ implementation of FM (Factorization Machine) and FFM (Field-Aware Factorization Machine).

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fastFM

fastFM: A Library for Factorization Machines

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fastFM-core

A short paper describing the library is available on arXiv.

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bastiR

Outils pour le suivi de chantier

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challenge-mimse2014

Challenge d’apprentissage supervisé du Master 2 MIMSE

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tidyverse-conda

Dockerfile for R + tidyverse + anaconda 2

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amen

R package for analysis of network and dyadic data

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ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

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CXSparse

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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frateli

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hudson-and-thames-research

Research Repo (Archive)

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lda

lda — Collapsed Gibbs Sampling Methods for Topic Models

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libffm

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libfm

Library for factorization machines

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libFMexe

libFM R package

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mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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mlss_2015

Material for open source machine learning practical

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oct_applications

Applications to the apprenticeship program, October 2020.

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pkgdown

Generate static html documentation for an R package

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qucit

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readr

Read flat files (csv, tsv, fwf) into R

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rPython

:exclamation: This is a read-only mirror of the CRAN R package repository. rPython — Package Allowing R to Call Python. Homepage: http://rpython.r-forge.r-project.org/

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scikit-learn

scikit-learn: machine learning in Python

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sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

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Step-Counting-Algorithms-Testing

A repository containing the Python version of the algorithms for development purposes

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