singhgautam / snpLinks
This is the official source code for Sequential Neural Processes.
☆40Updated 2 years ago
Alternatives and similar repositories for snp
Users that are interested in snp are comparing it to the libraries listed below
Sorting:
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆48Updated 2 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆53Updated 2 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- Variational Reinforcement Learning☆16Updated last year
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- ☆30Updated 4 years ago
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- ☆78Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆233Updated 3 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆54Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago