PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
☆468Aug 28, 2024Updated last year
Alternatives and similar repositories for hamiltorch
Users that are interested in hamiltorch are comparing it to the libraries listed below
Sorting:
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆53Aug 9, 2025Updated 7 months ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,960Oct 20, 2023Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,030Feb 3, 2026Updated last month
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Jul 1, 2021Updated 4 years ago
- Normalizing flows in PyTorch☆997Dec 27, 2024Updated last year
- Laplace approximations for Deep Learning.☆535Apr 22, 2025Updated 10 months ago
- Manifold Markov chain Monte Carlo methods in Python☆236Mar 2, 2026Updated 2 weeks ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Mar 5, 2026Updated 2 weeks ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆554Jul 25, 2024Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆586May 13, 2021Updated 4 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- Uncertainty quantification with PyTorch☆378Mar 10, 2026Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,623Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,377Mar 1, 2024Updated 2 years ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆802Updated this week
- A differentiation API for PyTorch☆30Jun 21, 2020Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆233Nov 13, 2020Updated 5 years ago
- Awesome resources on normalizing flows.☆1,613Jul 7, 2025Updated 8 months ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52May 14, 2021Updated 4 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,850Mar 12, 2026Updated last week
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jan 14, 2023Updated 3 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Feb 11, 2021Updated 5 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆134Dec 1, 2020Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆285Dec 14, 2023Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆708Jul 29, 2025Updated 7 months ago
- Gaussian processes in JAX and Flax.☆602Updated this week
- Normalizing flows in PyTorch☆451Mar 10, 2026Updated last week
- ☆252Dec 27, 2022Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆235Feb 8, 2022Updated 4 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,709Dec 30, 2024Updated last year
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- Bayesian optimization in PyTorch☆3,481Updated this week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,555May 2, 2024Updated last year
- Just a little MCMC☆234Jun 25, 2024Updated last year