#
maximum-likelihood
Here are 55 public repositories matching this topic...
Image-processing software for cryo-electron microscopy
gui
hpc
molecular-structures
cuda
image-processing
nvidia
high-performance-computing
graphics-programming
ctf
regularization
cryo-em
microscopy
likelihood
maximum-likelihood
optimization-algorithms
relion
molecular-biology
atomistic-models
biomolecular-dynamics
microscope
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Jun 27, 2020 - C++
RAxML Next Generation: faster, easier-to-use and more flexible
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Updated
Jun 26, 2020 - C++
Efficient phylogenomic software by maximum likelihood
phylogenetics
model-selection
mixture-model
maximum-likelihood
phylogenomics
iq-tree
ultrafast-bootstrap
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Updated
Jun 25, 2020 - C++
Maximum likelihood demultiplexing
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Sep 30, 2019 - C++
Gauss Naive Bayes in Python From Scratch.
python
naive-bayes
naive-bayes-classifier
bayesian
bayes
bayes-classifier
naive-bayes-algorithm
from-scratch
maximum-likelihood
bayes-classification
maximum-likelihood-estimation
iris-dataset
posterior-probability
gaussian-distribution
normal-distribution
classification-model
naive-bayes-tutorial
naive-bayes-implementation
normal-naive-bayes
naive-bayes-python
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Mar 10, 2019 - Python
A pipeline to select optimal markers for microbial phylogenomics, population genetics and genomic taxonomy
bash
r
pipeline
genomics
perl
phylogenetic-trees
phylogenetics
markers
orthologues
microbiology
population-genetics
codon-alignment
maximum-likelihood
phylogenomics
species-trees
recombination
core-genome
species-delimitation
phylogenomics-pipeline
clock-hypothesis
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Apr 30, 2020 - Perl
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jgabry
commented
Nov 13, 2019
In stan-dev/cmdstanr#78 (comment) @SteveBronder linked to the announcement of support for R6 documentation in roxygen2.
This is good news! We should update.
https://www.tidyverse.org/blog/2019/11/roxygen2-7-0-0/#r6-documentation
spatialreg: spatial models estimation and testing
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Jun 27, 2020 - R
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
count
correlation
entropy
binary
high-dimensional-data
maxent
heat-capacity
multivariate
neurons
ising-model
mcmc
maximum-likelihood
gibbs-sampling
maximum-entropy
criticality
bernoulli
dichotomized-gaussian
k-pairwise
iterative-scaling
specific-heat
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Feb 14, 2020 - MATLAB
TreeBeST: Tree Building guided by Species Tree (Ensembl Compara modifications)
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Oct 9, 2019 - C
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
python
machine-learning
signal-processing
detection
jupyter-notebook
regression
estimation
lasso
ridge-regression
hypothesis-testing
maximum-likelihood
teaching-materials
kalman-filter
python-notebook
lasso-regression
estimation-theory
tikhonov-regularization
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Apr 23, 2018 - Jupyter Notebook
Perform template likelihood fits on binned datasets to extract contribution to the dataset from different processes .
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Jun 3, 2020 - Python
A utility library for performing amplitude analysis on particle physics data.
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Apr 10, 2020 - C++
Scripts for file processing and analysis in phylogenetics and phylogeography
shell
ssh
r
snps
supercomputer
phylogeography
bayesian-inference
maximum-likelihood
population-structure
phylogeny
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May 28, 2020 - Shell
S2Bstar - 쇼핑몰 상품 카테고리 분류 대회 (잠정 순위 3위 - 2019.01.07 기준)
keras
python3
shopping
post-processing
maximum-likelihood
maximum-a-posteriori-estimation
mlp-networks
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Updated
Feb 13, 2019 - Python
Maximum a posteriori Point Emitter Localization -- High-performance, parallel, robust, cross-platform localization for EMCCD and SCMOS microscopy.
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Jun 27, 2019 - C++
Phylogenetic analysis of genetic data
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Jun 26, 2020 - C
An R package for maximum likelihood estimation of univariate densities.
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Dec 18, 2019 - R
Ancestor character reconstruction and visualisation for rooted phylogenetic trees
visualisation
phylogenetics
phylogeography
maximum-likelihood
parsimony
ancestral-character-reconstruction
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Updated
Jun 15, 2020 - Python
MBEToolbox: Matlab toolbox for molecular evolution
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Updated
Jan 26, 2020 - C
Markov-Switching State-Space Models
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Jun 28, 2019 - MATLAB
Partial Label Learning based on GMM
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Oct 29, 2016 - HTML
Shell script pipeline for inferring ML gene trees for many loci (e.g. genomic RAD loci)
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Jul 31, 2019 - Shell
An R package to perform Maximum Likelihood analysis using R expressions
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Jun 15, 2020 - R
HMM from scratch
machine-learning
natural-language-processing
markov-chain
python3
hidden-markov-model
expectation-maximization-algorithm
maximum-likelihood
probabilistic-models
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Jun 2, 2019 - Python
R package for mixed-effects REML incorporating Generalized Inverses
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Updated
Jun 25, 2020 - R
Miramare healpix analysis tools and a composable maximum likelihood component separation technique.
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Jul 8, 2014 - Fortran
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
statistics
statistical-inference
likelihood
maximum-likelihood
maximum-likelihood-estimation
likelihood-functions
log-likelihood
maximum-likelihood-problems
log-likelihood-functions
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May 11, 2020 - Julia
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I'm testing out sybil locally to check all the "executable" blocks in the lifelines *.rst. This worked pretty well, I did discover some legit errors.
See #1011