Sheev13 / bnn-mean-field-viLinks
☆10Updated last year
Alternatives and similar repositories for bnn-mean-field-vi
Users that are interested in bnn-mean-field-vi are comparing it to the libraries listed below
Sorting:
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆24Updated 2 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…☆31Updated last year
- ☆30Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- ☆29Updated 2 years ago
- An easy-to-use interface for measuring uncertainty and robustness.☆13Updated 4 years ago
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆23Updated 7 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- A hello world Bayesian Neural Network project on MNIST☆44Updated 3 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆44Updated 6 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 10 months ago
- Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training☆45Updated 6 months ago
- Stable Differentiable Causal Discovery (SDCD)☆22Updated 11 months ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- ☆59Updated 3 years ago
- PhD Thesis☆34Updated last year
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆9Updated 3 years ago
- ☆15Updated 3 months ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆71Updated last year
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Supervised Training of Conditional Monge Maps☆18Updated last year
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆73Updated 2 years ago
- Generalized Kraskov Estimator for Normalized Mutual Information☆16Updated 6 months ago