Code for the paper "Bayesian Neural Network Priors Revisited"
☆61Jul 1, 2021Updated 5 years ago
Alternatives and similar repositories for bnn_priors
Users that are interested in bnn_priors are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Apr 4, 2019Updated 7 years ago
- A Bayesian Neural Network with a horseshoe prior for improved interpretability☆61Jun 27, 2023Updated 3 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆95Oct 28, 2020Updated 5 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 9 months ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Oct 19, 2022Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 years ago
- A curated list of resources for learning Gaussian Processes☆42Jul 18, 2021Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning☆13Sep 6, 2024Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆12Jan 5, 2026Updated 6 months ago
- 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.
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆55Aug 9, 2025Updated 10 months ago
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Dec 16, 2022Updated 3 years ago
- Bayesian optimization of discrete sequences☆22Mar 27, 2022Updated 4 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆12Oct 20, 2020Updated 5 years ago
- ☆20Aug 2, 2023Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- 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.
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 5 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Aug 20, 2021Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆24Jul 15, 2022Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Jan 21, 2021Updated 5 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Apr 20, 2026Updated 2 months ago
- PyTorch implementation of bayesian neural network [torchbnn]☆560Jul 25, 2024Updated last year
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years 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 generic interface for linear algebra backends☆79Mar 13, 2026Updated 3 months ago
- ☆34May 1, 2025Updated last year
- Contractive Auto-Encoders in Numpy☆14Aug 31, 2012Updated 13 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Sep 6, 2021Updated 4 years ago
- SOXS: Simulated Observations of X-ray Sources☆16Jun 26, 2026Updated last week
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- ☆11Oct 15, 2025Updated 8 months ago