ssydasheng / Bayesian_neural_network_papersLinks
Papers for Bayesian-NN
☆325Updated 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
Sorting:
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆574Updated 3 years ago
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Building a Bayesian deep learning classifier☆485Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 5 years ago
- ☆241Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆628Updated 2 years ago
- ☆238Updated 5 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 5 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 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☆121Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 6 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆464Updated last year
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆312Updated 6 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,505Updated last year
- Bayesian neural network package☆147Updated 3 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago