Ghislain Durif
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Categories
All (13)
Biology (1)
CI (1)
GPU (1)
GUI (1)
Genetics (2)
Genomics (3)
Julia (1)
Machine Learning (1)
Machine learning (6)
Matlab (2)
Python (6)
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.

 

NuCount

Machine Learning
Biology
Python
Aggregating nuclei segmentation methods to quantify cell counts in spatial transcriptomics data
Aug 31, 2023

 

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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