Gabe-YHLee / IRVAE-publicLinks
☆27Updated 2 years ago
Alternatives and similar repositories for IRVAE-public
Users that are interested in IRVAE-public are comparing it to the libraries listed below
Sorting:
- ☆33Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆129Updated last year
- ☆52Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- A σ-VAE implementation in PyTorch☆98Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆85Updated last year
- Pytorch implementation of neural processes and variants☆29Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆31Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 6 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆15Updated 11 months ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- ☆32Updated 3 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data☆11Updated 3 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆148Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆88Updated 3 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆206Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆64Updated 3 years ago