PolinaKirichenko / flows_oodLinks
☆88Updated 4 years ago
Alternatives and similar repositories for flows_ood
Users that are interested in flows_ood are comparing it to the libraries listed below
Sorting:
- ☆149Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆243Updated 7 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆428Updated 3 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Implementation of Glow in PyTorch☆80Updated 5 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆68Updated 6 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- ☆181Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆61Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- ☆68Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆238Updated 6 years ago
- Belief matching framework official implementation☆41Updated 2 years ago