Ghislain Durif
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Categories
All (12)
CI (1)
GPU (1)
GUI (1)
Genetics (2)
Genomics (3)
Julia (1)
Machine learning (6)
Matlab (2)
Python (5)
R (7)
Statistics (5)
fluid mechanics (1)

Software

On this page, you can find some details about different software packages and libraries that I have developed or contributed to.

funStatTest

Statistics
R

Statistical Testing for Functional Data

Feb 24, 2023

dual.spls

Statistics
R

Dual norm-based Sparse Partial Least Squares Regression

Oct 14, 2022

NIPD

Statistics
Genomics
Python

Bayesian inference for non-invasive prenatal diagnostic of genetic diseases

Dec 16, 2021

YALES2BIO

fluid mechanics
CI

Numerical solver for fluid mechanics

Dec 7, 2021

BenchOpt

Machine learning
Python
R
Julia

Benchmark repository for optimization

Mar 8, 2021

DIYABC-RF GUI

Machine learning
Genetics
GUI

Graphical User Interface for DYIABC-RF software

Jul 10, 2020

KeOps

Machine learning
Python
Matlab
R
GPU

Seamless Kernel Operations on GPU with auto-differentiation and without memory overflows

Oct 9, 2019

ckn-tf

Machine learning
Python

Re-implementation of Convolutional Kernel Network (CKN) from Mairal (2016) in Python based on the TensorFlow framework

Jul 26, 2018

Loter

Machine learning
Genetics

Python package for haplotype phasing and local ancestry inference (population genetics)

May 19, 2018

SPAMS

Machine learning
Python
Matlab
R

Optimization toolbox for sparse estimation, implementing algorithms that solve machine learning and signal processing problems involving sparse regularizations.

Feb 23, 2017

pCMF

Statistics
R
Genomics

Probabilistic count matrix factorization for single cell transcriptomic data analyses (dimension reduction, visualization).

Jan 15, 2015

plsgenomics

Statistics
R
Genomics

Supervised methods for dimension reduction in classification and regression framework (in particular PLS-based routines for genomic data analyses).

Sep 15, 2014
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