makora9143 / pytorch-convcnpLinks
A PyTorch Implementation of Convolutional Conditional Neural Process.
☆51Updated 5 years ago
Alternatives and similar repositories for pytorch-convcnp
Users that are interested in pytorch-convcnp are comparing it to the libraries listed below
Sorting:
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- ☆148Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆33Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- ☆88Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 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 6 years ago
- ☆180Updated 6 years ago
- ☆26Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆131Updated 5 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- ☆124Updated last year
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago