Likelihood Based Optimal Partitioning
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Updated
May 20, 2024 - R
Likelihood Based Optimal Partitioning
GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.
R package for statistical inference using partially observed Markov processes
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.
Image-processing software for cryo-electron microscopy
Monty Hall Particle Filter implementation
LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.
FLexible And Reliable Fitting LibrarY for particle physics analysis
Interactive zfit tutorials
Multifrequency Likelihood for SO Large Aperture Telescope
Methods for profile likelihood analysis.
Interface for mathematical/statistical densities in Julia
A cobaya low-ell likelihood polarized for planck 2020 data (NPIPE release)
HAWC Accelerated Likelihood - python-only framework for HAWC data analysis
Provides likelihood functions for Gaussian Processes.
Simple Linear Regression
[Not published - under active development] Toolbox of model fitting helper functions
Embedded Dependency (ED) models for inapplicable characters
Official source code repository for the paper "Benchmarking Generative Latent Variable Models for Speech"
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