EmilienDupont / neural-processesLinks
Pytorch implementation of Neural Processes for functions and images
☆234Updated 3 years ago
Alternatives and similar repositories for neural-processes
Users that are interested in neural-processes are comparing it to the libraries listed below
Sorting:
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆240Updated 7 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Implementation of the Convolutional Conditional Neural Process☆127Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- ☆181Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆289Updated 4 years ago
- Code for Neural Spline Flows paper☆283Updated 2 months ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- The collection of recent papers about variational inference☆84Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Masked Autoregressive Flow☆218Updated last year
- ☆251Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 2 months ago
- PyTorch implementation of Stein Variational Gradient Descent☆47Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆53Updated 5 years ago
- ☆150Updated 3 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago