A simple probabilistic programming language.
☆711Jul 2, 2026Updated 2 weeks ago
Alternatives and similar repositories for edward2
Users that are interested in edward2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,583Jul 9, 2026Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,720Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,420Jul 7, 2026Updated 2 weeks ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆708Oct 4, 2021Updated 4 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆333Mar 20, 2024Updated 2 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆471May 4, 2025Updated last year
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,023Jul 10, 2026Updated last week
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Aug 2, 2024Updated last year
- Bayesian optimization in PyTorch☆3,572Updated this week
- ☆475Jul 7, 2026Updated last week
- Documentation:☆131May 22, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,097Updated this week
- Gaussian processes in TensorFlow☆1,911Jun 16, 2026Updated last month
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,965Oct 20, 2023Updated 2 years ago
- ☆644Jul 8, 2026Updated last week
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Dec 15, 2022Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893May 12, 2024Updated 2 years ago
- JAX-based neural network library☆3,256Jul 9, 2026Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,899Jul 10, 2026Updated last week
- ☆774Jan 27, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆279Jan 19, 2022Updated 4 years ago
- A TensorFlow reimplementation of GalSim☆10Mar 8, 2022Updated 4 years ago
- ☆948Jul 9, 2026Updated last week
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆983Sep 25, 2023Updated 2 years ago
- State of the art inference for your bayesian models.☆247Jan 14, 2026Updated 6 months ago
- Functional tensors for probabilistic programming☆251Jul 10, 2026Updated last week
- ☆175Jul 30, 2024Updated last year
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,023Jan 19, 2021Updated 5 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Laplace approximations for Deep Learning.☆548Apr 22, 2025Updated last year
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆248Dec 3, 2019Updated 6 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆401May 8, 2024Updated 2 years ago
- Notebooks about Bayesian methods for machine learning☆1,919Jul 12, 2026Updated last week
- A Python package for probabilistic state space modeling with JAX☆982Updated this week
- Just a little MCMC☆235Jun 25, 2024Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,051Jun 4, 2026Updated last month