didriknielsen / pixelcnn_flow
Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
☆19Updated 4 years ago
Alternatives and similar repositories for pixelcnn_flow:
Users that are interested in pixelcnn_flow are comparing it to the libraries listed below
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆11Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆67Updated 2 years ago
- ☆42Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 6 months ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆29Updated 4 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated last year
- ☆21Updated 4 years ago
- ☆29Updated 4 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- ☆28Updated 3 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- ☆26Updated 6 years ago
- The PyTorch implementation of the GLF☆21Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆63Updated last year
- ☆13Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- code to reproduce the empirical results in the research paper☆35Updated 3 years ago