AdamCobb / hamiltorchLinks
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
☆451Updated 10 months ago
Alternatives and similar repositories for hamiltorch
Users that are interested in hamiltorch are comparing it to the libraries listed below
Sorting:
- Laplace approximations for Deep Learning.☆514Updated 2 months ago
- ☆152Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆440Updated last year
- Normalizing flows in PyTorch☆396Updated last month
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 2 years ago
- ☆240Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated 2 weeks ago
- Normalizing flows in PyTorch☆929Updated 6 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Gaussian processes in JAX and Flax.☆521Updated 3 weeks ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 8 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Pytorch implementation of Augmented Neural ODEs☆542Updated 2 years ago
- Code for Neural Spline Flows paper☆276Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆282Updated last year
- PyTorch implementation of bayesian neural network [torchbnn]☆535Updated 11 months ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆709Updated this week
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆606Updated 2 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 4 months ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆468Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 6 months ago
- Probabilistic Numerics in Python.☆452Updated last week
- Constrained optimization toolkit for PyTorch☆687Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago