A library that allows for inference on probabilistic models
☆275Oct 18, 2023Updated 2 years ago
Alternatives and similar repositories for beanmachine
Users that are interested in beanmachine are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Evaluation Framework for Probabilistic Programming Languages☆105Jan 18, 2024Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Apr 15, 2026Updated 3 months ago
- Functional tensors for probabilistic programming☆251Jul 10, 2026Updated 2 weeks ago
- Bayesian optimization of discrete sequences☆22Mar 27, 2022Updated 4 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆66Oct 7, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Bayesian Regression Models in Pyro☆75Jul 25, 2024Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆106Oct 23, 2023Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,101Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,721Updated this week
- Repository of models in Pyro☆31Jul 25, 2024Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆333Mar 20, 2024Updated 2 years ago
- Decorators for logging purposes for all your dataframes☆15Jan 31, 2025Updated last year
- ☆14Sep 11, 2022Updated 3 years ago
- ☆644Jul 8, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Training HuggingFace models using fastai☆11Jul 22, 2021Updated 5 years ago
- GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.☆37Dec 9, 2024Updated last year
- A LinearOperator implementation for PyTorch☆18Jan 15, 2021Updated 5 years ago
- Finite State Machine implementations of MCMC algorithms in JAX for efficient vectorization.☆20Jun 7, 2025Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆126Jun 14, 2026Updated last month
- Probabilistic Numerics in Python.☆461Jul 3, 2025Updated last year
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,063May 22, 2026Updated 2 months ago
- A Simple Statistical Distribution Library in JAX☆16Mar 30, 2024Updated 2 years ago
- MLflow logging for PyMC☆14Aug 31, 2025Updated 10 months ago
- Bayesian optimization in PyTorch☆3,574Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆319Jul 8, 2026Updated 2 weeks ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆401May 8, 2024Updated 2 years ago
- Generic API for dispatch to Pyro backends.☆16Feb 13, 2022Updated 4 years ago
- Just a little MCMC☆235Jun 25, 2024Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,026Jul 10, 2026Updated 2 weeks ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A flexible tool for the multi-resolution localization of causal variants across the genome☆11Feb 19, 2021Updated 5 years ago
- State of the art inference for your bayesian models.☆247Jan 14, 2026Updated 6 months ago
- Exploratory analysis of Bayesian models with Python☆1,837Updated this week
- Python interface for the Stan to (Num)Pyro compiler.☆14Oct 20, 2021Updated 4 years ago
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 3 years ago
- A collection of optimizers, some arcane others well known, for Flax.☆29Aug 6, 2021Updated 4 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,899Jul 10, 2026Updated 2 weeks ago