soobinseo / Attentive-Neural-ProcessLinks
A Pytorch Implementation of Attentive Neural Process
☆75Updated 6 years ago
Alternatives and similar repositories for Attentive-Neural-Process
Users that are interested in Attentive-Neural-Process are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- ☆181Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 4 years ago
- ☆148Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆280Updated last year
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆51Updated 5 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 7 years ago
- The collection of recent papers about variational inference☆84Updated 5 years ago
- Masked Autoregressive Flow☆218Updated last year
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Code for Neural Spline Flows paper☆279Updated 5 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- ☆91Updated 6 years ago
- ☆89Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago