ssydasheng / Bayesian_neural_network_papers
Papers for Bayesian-NN
☆314Updated 5 years ago
Related projects: ⓘ
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆170Updated 2 years ago
- a repo sharing Bayesian Neural Network recent papers☆213Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆548Updated 2 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆358Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆224Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆241Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆597Updated 2 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆262Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆438Updated last year
- The collection of recent papers about variational inference☆84Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆117Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆223Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆307Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆246Updated 5 years ago
- ☆225Updated 4 years ago
- Deep neural network kernel for Gaussian process☆196Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆661Updated last year
- Building a Bayesian deep learning classifier☆486Updated 6 years ago
- ☆231Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆99Updated 5 years ago
- Implementing Bayes by Backprop☆181Updated 5 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆476Updated last month
- A PyTorch library for two-sample tests☆236Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆196Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆269Updated 9 months ago
- Deep Gaussian Processes in Python☆230Updated 3 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆379Updated 5 months ago
- Bayesian Deep Learning: A Survey☆497Updated last month
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆147Updated 2 years ago
- " Weight Uncertainty in Neural Networks"☆45Updated 6 years ago