Machine Learning

BenchOpt

Benchmark repository for optimization

Introduction to Machine Learning

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Loter2: Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

In most Eukaryotes species, the transmission of genetic materials between generations is achieved through sexual reproduction. During this process, each individual inherits half of their genome from both their parents. Thanks to genetic recombination, the genome of an individual is a non-uniform combination of the genetic material of their ancestors. This process directly impacts individual phenotype transmission and species or population evolution. During inter-population (or inter-species) breeding events, descendants inherit an admixture of genetic materials from both source populations (or species).

Genome-wide local ancestry inference in admixed individuals with scalable penalized nearest neighbor algorithm

In most Eukaryotes species, the transmission of genetic materials between generations is achieved through sexual reproduction. During this process, each individual inherits half of their genome from both their parents. Thanks to genetic recombination, the genome of an individual is a non-uniform combination of the genetic material of their ancestors. This process directly impacts individual phenotype transmission and species or population evolution. During inter-population (or inter-species) breeding events, descendants inherit an admixture of genetic materials from both source populations (or species).

Loter

Python package for haplotype phasing and local ancestry inference

ckntf

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

SPAMS

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