Bayesian Modeling and Probabilistic Programming in Python
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Updated
May 9, 2024 - Python
Bayesian Modeling and Probabilistic Programming in Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
Probabilistic Programming and Nested sampling in JAX
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
A simple probabilistic programming language.
Bayesian inference with probabilistic programming.
Deep universal probabilistic programming with Python and PyTorch
Lightwood is Legos for Machine Learning.
Probabilistic Cellular Automata Design and Analysis
Probabilistic reasoning and statistical analysis in TensorFlow
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Probabilistic language based on pattern matching and constraint propagation, 153 examples
A general-purpose probabilistic programming system with programmable inference
High-performance reactive message-passing based Bayesian inference engine
TV channels occupation simulator based on the generation of random variables with synchronous time. The information obtained from this simulator applies only to some frequencies of the television band in Colombia
Educational material and tutorials for the Turing language
Probabilistic programming system for fast and exact symbolic inference
Probabilistic programming for the web
PyAutoFit: Classy Probabilistic Programming
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