aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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
- python
- statistical-analysis
- bayesian-inference
- mcmc
Deep universal probabilistic programming with Python and PyTorch
Probabilistic data structures for processing continuous, unbounded streams.
- bloom-filter
- go
- stable-bloom-filters
- cuckoo-filter
Algorithm is a library of tools that is used to create intelligent applications.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Monadic effects and equational reasoning in Rocq
- monads
- monad-transformers
- probabilistic-programming
- nondeterminism