wesselb / neuralprocessesLinks
A framework for composing Neural Processes in Python
☆85Updated 5 months ago
Alternatives and similar repositories for neuralprocesses
Users that are interested in neuralprocesses are comparing it to the libraries listed below
Sorting:
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆219Updated 11 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆123Updated 4 years ago
- Literature and light wrappers for gaussian process models.☆46Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Gaussian process modelling in Python☆223Updated 5 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆128Updated 9 months ago
- Normalizing Flows using JAX☆83Updated last year
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Collection of resources from each meetup event☆13Updated 4 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- ☆153Updated 2 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- ☆161Updated 3 weeks ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆67Updated 11 months ago
- Simulation-based inference benchmark☆97Updated 4 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated last week