abhisheksaurabh1985 / vae_nf
Variational Autoencoder with Normalizing Flows
☆17Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for vae_nf
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- ☆29Updated 3 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- ☆22Updated 3 years ago
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 5 years ago
- 2D toy datasetを用いたRealNVPの非常に簡単な実例です。ライブラリはPyTorchを用いています。☆12Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated last month
- ☆26Updated 5 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆90Updated 7 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆37Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Variational Autoencoders with Normalizing Flows☆9Updated 6 years ago
- Implementation of Flow++ in PyTorch☆40Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- ☆67Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆38Updated last year
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- ☆15Updated 4 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year