danielkelshaw / WeightUncertaintyLinks
PyTorch implementation of 'Weight Uncertainty in Neural Networks'
☆19Updated 5 years ago
Alternatives and similar repositories for WeightUncertainty
Users that are interested in WeightUncertainty are comparing it to the libraries listed below
Sorting:
- ☆41Updated 6 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆109Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆207Updated 4 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 4 months ago
- Mixture density network implemented in PyTorch.☆152Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆228Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- ☆72Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Bayesian active learning with EPIG data acquisition☆36Updated 5 months ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 6 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆54Updated 3 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated 2 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆26Updated last year
- Stochastic Mirror Descent on CIFAR-10☆20Updated 6 years ago
- Consistent Koopman Autoencoders☆75Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 6 months ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated 6 months ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Gaussian processes with PyTorch☆30Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Updated 5 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆48Updated 2 years ago
- ☆252Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago