makora9143 / pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
☆49Updated 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
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆229Updated 3 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- Implementation of the Functional Neural Process models☆43Updated 4 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
- ☆147Updated 3 years ago
- ☆26Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆180Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- PyTorch implementations of normalizing flow and its variants.☆76Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆83Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- ☆32Updated 5 years ago