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
Sorting:
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated last year
- ☆20Updated 2 years ago
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago
- ☆68Updated 2 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 3 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆74Updated 2 years ago
- ☆23Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆38Updated 2 years ago
- We got a stew going!☆27Updated last year
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- PyTorch implementations of normalizing flow and its variants.☆77Updated 4 years ago
- ☆29Updated 3 years ago
- Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch☆40Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆66Updated last year
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 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
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- ☆36Updated 2 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Local Attention - Flax module for Jax☆21Updated 3 years ago
- ☆17Updated 4 years ago
- A σ-VAE implementation in PyTorch☆97Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 9 months ago