orybkin / sigma-vaeLinks
Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"
☆29Updated 3 years ago
Alternatives and similar repositories for sigma-vae
Users that are interested in sigma-vae are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- ☆33Updated 2 years ago
- ☆26Updated 6 years ago
- ☆27Updated 5 years ago
- ☆66Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Generalised UDRL☆37Updated 3 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 11 months ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- ☆30Updated 4 years ago
- ☆31Updated 4 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆13Updated 6 years ago
- EfficientMORL (ICML'21)☆21Updated 3 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- ☆41Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- ☆15Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"☆24Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- code to reproduce the empirical results in the research paper☆36Updated 3 years ago
- Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" (https://arx…☆9Updated 5 months ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago