asperti / BalancingVAE
An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence
☆19Updated 4 years ago
Alternatives and similar repositories for BalancingVAE:
Users that are interested in BalancingVAE are comparing it to the libraries listed below
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated last year
- ☆68Updated 2 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- ☆23Updated 4 years ago
- ☆29Updated 3 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- ☆20Updated 2 years ago
- A σ-VAE implementation in PyTorch☆98Updated 3 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆39Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆65Updated 10 months ago
- ☆15Updated 5 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated last year
- ☆31Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- ☆15Updated 4 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- ☆33Updated 2 years ago
- Code base for MomentumRNN.☆18Updated 4 years ago