InferPy
Probabilistic modeler
A high-level API for probabilistic modeling with a focus on ease of use and scalability
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
147 stars
10 watching
14 forks
Language: Jupyter Notebook
last commit: 4 months ago
Linked from 1 awesome list
keras-tensorflowneural-networkprobabilistic-modelingprobabilistic-programmingtensorflowuser-friendly
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 google/edward2 | A tool for writing probabilistic models and manipulating their computation | 679 |
 rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 325 |
 probprog/pyprob | A probabilistic programming system for simulators and high-performance computing based on PyTorch | 27 |
 probtorch/probtorch | A deep learning framework for probabilistic models that extends PyTorch with support for reparameterized distributions and Monte Carlo estimators. | 887 |
 sktime/skpro | A Python framework for probabilistic regression and prediction tasks | 249 |
 juliastats/pgm.jl | A Julia framework for building and analyzing probabilistic graphical models. | 52 |
 thepaw/probab | A tool for generating and manipulating probabilistic models in code. | 20 |
 pyro-ppl/numpyro | A probabilistic programming library that provides a NumPy backend for automatic differentiation and JIT compilation to GPU/TPU/CPU. | 2,290 |
 sheffieldml/deepgp | Software implementing probabilistic models for uncertainty estimation in data analysis | 90 |
 hakaru-dev/hakaru | A language for specifying and transforming probabilistic models and inference algorithms in Haskell. | 311 |
 joashc/csharp-probability-monad | A monadic probabilistic programming framework for Bayesian modelling and inference in C#. | 96 |
 camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers | An introduction to Bayesian methods and probabilistic programming for software developers | 26,798 |
 gpflow/gpflowopt | A Python package for Bayesian optimization using the GPFlow library and TensorFlow. | 270 |
 drckf/paysage | An unsupervised learning and generative models library for Python, focusing on probabilistic models and efficient computation. | 119 |
 jaxgaussianprocesses/gpjax | Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 461 |