A brief comparison of the weights computation for a linear classifer using Maximum Likelihood (ML) and Maximum aPosteriori (MAP)
Snakemake workflow that concatenate MSA files into a supermatrix and calculates a maximum likelihood tree. Imported from my GitLab
The numerical analysis files corresponding to arxiv: 2202.00962
BUSCO_Phylogenomics | Pipeline to construct species phylogenies using BUSCO proteins
This script illustrates the use of the EM Algorithm in a Gaussian mixture model
Evolutionary model of protein secondary structure capable of revealing new biological relationships
Python package for frontier analysis
Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification
An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.
Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]
A multi-algorithmic framework for phylogenetic inference
An R package for maximum likelihood estimation of univariate densities.
A python script that takes alignment file and builds a phylogeny tree.
Chandler-Bate adjustment for different models in Econometrics
Bayesian and maximum likelihood fits
Efficient phylogenomic software by maximum likelihood
Automated pipeline for processing and analyzing Eleutherodactylus eileenae chorus recordings: from multi-mic synchronization and noise filtering to heuristic call detection and Ising-model interaction inference.
Provide the automatic differentiation for Likelihood maximization routine
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