tigvarts / vaeac
Variational Autoencoder with Arbitrary Conditioning
☆80Updated last year
Alternatives and similar repositories for vaeac:
Users that are interested in vaeac are comparing it to the libraries listed below
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- ☆90Updated 5 years ago
- ☆122Updated 2 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- ☆180Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- ☆235Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆110Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 6 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago