ruqizhang / csgmcmc
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
☆92Updated 4 years ago
Alternatives and similar repositories for csgmcmc:
Users that are interested in csgmcmc are comparing it to the libraries listed below
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆108Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 7 months ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Hypergradient descent☆143Updated 7 months ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 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, …☆111Updated 6 years ago
- The collection of recent papers about variational inference☆85Updated 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
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- ☆178Updated 5 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆110Updated 2 years ago
- ☆67Updated 5 years ago
- ☆236Updated 2 years ago
- ☆87Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆120Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆144Updated last year
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆58Updated 6 years ago
- ☆163Updated 5 months ago
- ☆53Updated 6 months ago