EmilienDupont / neural-processes
Pytorch implementation of Neural Processes for functions and images
☆227Updated 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
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆232Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆211Updated 9 months ago
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆120Updated 3 years ago
- ☆179Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for Neural Spline Flows paper☆266Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆178Updated 3 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆286Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆275Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 3 years ago
- Masked Autoregressive Flow☆210Updated 7 months ago
- code for "Residual Flows for Invertible Generative Modeling".☆265Updated last year
- ☆240Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Deep neural network kernel for Gaussian process☆203Updated 4 years ago
- Disentanglement library for PyTorch☆276Updated 2 years ago
- Hypergradient descent☆145Updated 9 months ago