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probabilistic-programming
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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
Probabilistic language based on pattern matching and constraint propagation, 153 examples
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
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Bayesian inference with probabilistic programming.
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.
A neurosymbolic perspective on LLMs
High-quality implementations of standard and SOTA methods on a variety of tasks.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
PyStan, the Python interface to Stan
Learn about Machine Learning and Artificial Intelligence