ssydasheng / Bayesian_neural_network_papers
Papers for Bayesian-NN
☆318Updated 5 years ago
Alternatives and similar repositories for Bayesian_neural_network_papers:
Users that are interested in Bayesian_neural_network_papers are comparing it to the libraries listed below
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆173Updated 2 years ago
- a repo sharing Bayesian Neural Network recent papers☆215Updated 5 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆119Updated 5 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆265Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆616Updated 2 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆230Updated 6 years ago
- A PyTorch library for two-sample tests☆237Updated last year
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆243Updated 5 years ago
- ☆235Updated 2 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆311Updated 6 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆456Updated last year
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆564Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Deep neural network kernel for Gaussian process☆202Updated 4 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆248Updated 6 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Building a Bayesian deep learning classifier☆487Updated 7 years ago
- ☆228Updated 4 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆505Updated 5 months ago
- Pytorch implementation of Neural Processes for functions and images☆228Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆273Updated last year
- Bayesian Deep Learning Benchmarks☆666Updated last year
- Bayesian Deep Learning: A Survey☆508Updated 2 months ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆152Updated 2 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆224Updated 6 years ago
- Tutorial on normalizing flows.☆298Updated 7 years ago
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago