Alfo5123 / Variational-Sparse-Coding
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
☆62Updated last year
Alternatives and similar repositories for Variational-Sparse-Coding
Users that are interested in Variational-Sparse-Coding are comparing it to the libraries listed below
Sorting:
- ☆122Updated 2 years ago
- ☆91Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆53Updated 9 months ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆180Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- ☆36Updated 2 years ago
- ☆42Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆148Updated 3 years ago
- ☆68Updated 2 years ago
- ☆33Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago