A comparison investigation of water sampling methods using Bayesian inference modeling as part of a 2023 study by the CSU Agricultural Water Quality Program
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Updated
May 30, 2024 - HTML
A comparison investigation of water sampling methods using Bayesian inference modeling as part of a 2023 study by the CSU Agricultural Water Quality Program
R package implementing Bayesian NMF using various models and prior structures.
R package for geographic assignment
Bayesian Modeling and Probabilistic Programming in Python
Research tools for intermingling gravitational-wave data analysis with numerical relativity
The base NIMBLE package for R
Population Synthesis in transport modeling
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
An R package for Bayesian structural equation modeling using INLA
ELFI - Engine for Likelihood-Free Inference
Bayesian Inference of Complex Panel Data
Bayesian inference with probabilistic programming.
A Julia framework for invertible neural networks
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
A Python library for amortized Bayesian workflows using generative neural networks.
Bayesian Estimation of Structural Vector Autoregressive Models
Reference implementation of the Global Brain algorithm.
Data analysis of 1701 supernovae distances to estimate cosmological parameters using Markov Chain Monte Carlo
PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.
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