Gabe-YHLee / NRAE-public
☆32Updated 2 years ago
Alternatives and similar repositories for NRAE-public
Users that are interested in NRAE-public are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- ☆64Updated last year
- Pytorch implementation of neural processes and variants☆29Updated 9 months ago
- ☆32Updated 5 years ago
- ☆53Updated 9 months ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆50Updated 4 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 4 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆79Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆38Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆44Updated last year
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- ☆24Updated 3 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago