team-approx-bayes / dl-with-bayes
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
☆244Updated 5 years ago
Alternatives and similar repositories for dl-with-bayes:
Users that are interested in dl-with-bayes are comparing it to the libraries listed below
- ☆241Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆459Updated last year
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆670Updated 2 years ago
- Implementing Bayes by Backprop☆183Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆229Updated 3 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆422Updated 2 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆148Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- ☆180Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆233Updated 6 years ago
- A PyTorch library for two-sample tests☆239Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 3 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 7 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆276Updated last year
- Papers for Bayesian-NN☆322Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆195Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆75Updated last year
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code for Neural Spline Flows paper☆268Updated 4 years ago