#Probabilistic-programming
Showing 39 of 39 repositories tagged #probabilistic-programming, ranked by stars
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probabilistic reasoning and statistical analysis in TensorFlow
Bayesian inference with probabilistic programming.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A general-purpose probabilistic programming system with programmable inference
Awesome-pytorch-list 翻译工作进行中......
Probabilistic data structures for processing continuous, unbounded streams.
High-quality implementations of standard and SOTA methods on a variety of tasks.
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
Learn about Machine Learning and Artificial Intelligence
PyStan, the Python interface to Stan
Algorithm is a library of tools that is used to create intelligent applications.
A simple probabilistic programming language.
Gaussian processes in JAX and Equinox.
Lightwood is Legos for Machine Learning.
Experimental tensor-typed deep learning
Probabilistic programming with large language models
An embedded language for probabilistic programming and meta-programming.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html
Bayesian models to compute performance and uncertainty of returns and alpha.
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
bayes-toolbox
LoMRF is an open-source implementation of Markov Logic Networks
cplint is a suite of programs for reasoning with probabilistic logic programs
Probabilistic Answer Set Programming and Probabilistic SAT solving, based on Differentiable Satisfiability
Axle Domain Specific Language for Scientific Cloud Computing and Visualization
Probabilistic programming with programmable inference for parallel accelerators.
Implementation of the conjugate prior table for Bayesian Statistics
Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.
A web interface for exploring PyMC3 traces
Bayesian Inference and parameter estimation in quant finance.
Library of composable generative population models which serve as the modeling and inference backend of BayesDB.