danielkelshaw / WeightUncertainty
PyTorch implementation of 'Weight Uncertainty in Neural Networks'
☆18Updated 4 years ago
Alternatives and similar repositories for WeightUncertainty
Users that are interested in WeightUncertainty are comparing it to the libraries listed below
Sorting:
- ☆37Updated 6 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆100Updated last year
- Regression datasets from the UCI repository with standardized test-train splits.☆45Updated 2 years ago
- Stochastic Mirror Descent on CIFAR-10☆19Updated 5 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆118Updated 5 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆31Updated last month
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 7 months ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Bayesian neural network package☆147Updated 3 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆44Updated last year
- ☆107Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Deep neural network kernel for Gaussian process☆203Updated 4 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 3 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago