Alfo5123 / Variational-Sparse-CodingLinks
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
☆61Updated 2 years ago
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:
- ☆124Updated 2 years ago
- ☆91Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- ☆148Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆48Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Variational Autoencoder with Arbitrary Conditioning☆81Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- ☆54Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆64Updated last year
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- Hypergradient descent☆148Updated last year
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- ☆29Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago