team-approx-bayes / ivonLinks
IVON optimizer for neural networks based on variational learning.
☆72Updated last year
Alternatives and similar repositories for ivon
Users that are interested in ivon are comparing it to the libraries listed below
Sorting:
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆59Updated 2 weeks ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Sketched linear operations for PyTorch☆97Updated 3 weeks ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Laplace approximations for Deep Learning.☆523Updated 6 months ago
- Uncertainty quantification with PyTorch☆375Updated last month
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆58Updated 2 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆131Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆76Updated last month
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Updated 4 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆145Updated 5 months ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 3 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 11 months ago
- ☆155Updated 3 years ago
- Normalizing flows in PyTorch☆417Updated last month
- Squared Non-monotonic Probabilistic Circuits☆23Updated 10 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆63Updated last year
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆20Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆91Updated 8 months ago
- Bayesian active learning with EPIG data acquisition☆34Updated 2 months ago
- ☆52Updated 2 years ago