ruqizhang / csgmcmc
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
☆93Updated 4 years ago
Alternatives and similar repositories for csgmcmc:
Users that are interested in csgmcmc are comparing it to the libraries listed below
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆48Updated 6 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- ☆240Updated 2 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆24Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- ☆53Updated 7 months ago
- ☆87Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆138Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Convolutional Neural Tangent Kernel☆109Updated 5 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Reusable BatchBALD implementation☆78Updated last year
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago