pyro-ppl / funsorLinks
Functional tensors for probabilistic programming
☆244Updated 2 years ago
Alternatives and similar repositories for funsor
Users that are interested in funsor are comparing it to the libraries listed below
Sorting:
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Documentation:☆125Updated 2 years ago
- Large-scale, multi-GPU capable, kernel solver☆194Updated 5 months ago
- ☆214Updated 3 years ago
- Inference Combinators in JAX☆52Updated 7 months ago
- Repository of models in Pyro☆30Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- ☆172Updated last year
- Tools for an Aesara-based PPL.☆67Updated last year
- Evaluation Framework for Probabilistic Programming Languages☆103Updated last year
- A user-centered Python package for differentiable probabilistic inference☆203Updated 5 years ago
- ☆153Updated 5 years ago
- A library that allows for inference on probabilistic models☆272Updated 2 years ago
- Just a little MCMC☆234Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Gaussian process modelling in Python☆226Updated last year
- Statistical Rethinking with PyTorch and Pyro☆166Updated 7 months ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- Tools for JAX☆49Updated last month
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆248Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Structural Time Series in JAX☆212Updated last year
- Mathematical operations for JAX pytrees☆205Updated last year
- Statistical Rethinking (2nd ed.) with NumPyro☆465Updated 7 months ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆305Updated this week