Bayesian Evolutionary Analysis by Sampling Trees
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Updated
Jun 12, 2024 - Java
Bayesian Evolutionary Analysis by Sampling Trees
WISE: full-Waveform variational Inference via Subsurface Extensions
Bayesian Belief Network library and CLI/TUI tool for Go
Reference implementation of the Global Brain algorithm.
R package and Stan code for maximum likelihood and Bayesian modeling of galaxy star formation histories
PotentialLearning.jl: Developing Optimization Workflows for Fast and Accurate Interatomic Potentials.
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
R package implementing Bayesian NMF using various models and prior structures.
Simulation-based inference toolkit
Bayesian Modeling and Probabilistic Programming in Python
Interface for using finite elements in inverse problems with complex domains
multilevelcoda R package for Bayesian compositional multilevel modelling
Bayesian inference with probabilistic programming.
PyHGF: A neural network library for predictive coding
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Loopy belief propagation for factor graphs on discrete variables in JAX
Penalized Transformation Models in Liesel
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