hakaru
Probabilistic programming language
A probabilistic programming language designed to simplify the creation of machine-learning applications and stochastic models.
A probabilistic programming language
312 stars
27 watching
30 forks
Language: Haskell
last commit: almost 3 years ago bayesian-statisticshaskellmachine-learningmapleprobabilistic-programming
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for writing probabilistic models and manipulating their computation | 680 |
| An open-source probabilistic programming language and its core libraries for building complex probabilistic models | 757 |
| Tools and methods for Bayesian deep learning using probabilistic programming. | 328 |
| A tool for generating and manipulating probabilistic models in code. | 20 |
| A high-level API for probabilistic modeling with a focus on ease of use and scalability | 149 |
| A monadic probabilistic programming framework for Bayesian modelling and inference in C#. | 96 |
| A library that enables probabilistic programming in Haskell. | 411 |
| An introduction to Bayesian methods and probabilistic programming for software developers | 26,868 |
| A probabilistic programming framework for Bayesian inference and model comparison using nested sampling and JAX. | 156 |
| A probabilistic programming system for simulators and high-performance computing based on PyTorch | 27 |
| A deep learning framework for probabilistic models that extends PyTorch with support for reparameterized distributions and Monte Carlo estimators. | 887 |
| A lightweight probabilistic programming library built on top of JAX and NumPy. | 2,341 |
| An MCMC sampler library for Bayesian estimation using Python | 331 |
| A Go library implementing Naive Bayesian Classification with TF-IDF support. | 806 |
| A Python library for Bayesian inference and multinomial mixture modeling | 108 |