A framework for composing Neural Processes in Python
☆90Dec 17, 2024Updated last year
Alternatives and similar repositories for neuralprocesses
Users that are interested in neuralprocesses are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A framework for composing Neural Processes in Julia☆76May 3, 2021Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆231Jun 12, 2024Updated last year
- Implementation of the Convolutional Conditional Neural Process☆129May 17, 2021Updated 4 years ago
- A generic interface for linear algebra backends☆78Mar 13, 2026Updated last week
- Official implementation of Transformer Neural Processes☆82Aug 21, 2022Updated 3 years ago
- A Python package for tackling diverse environmental prediction tasks with NPs.☆124Updated this week
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 2023Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆99Mar 21, 2025Updated last year
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆34Apr 8, 2021Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆12May 25, 2023Updated 2 years ago
- My code repo for random-walks.org☆16Feb 1, 2026Updated last month
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 5 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Dec 26, 2022Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 3 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- A Bayesian optimization toolbox built on TensorFlow☆248Jan 14, 2026Updated 2 months ago
- ☆11Mar 13, 2023Updated 3 years ago
- ☆14Sep 11, 2022Updated 3 years ago
- Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021☆16Jan 11, 2022Updated 4 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 6 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,014Jan 19, 2021Updated 5 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- scivision: a framework for scientific image analysis☆106Updated this week
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- The icenet library is a pip installable python package containing the commands and code you need to produce forecasts☆29Feb 4, 2026Updated last month
- This is the official source code for Sequential Neural Processes.☆41Dec 8, 2022Updated 3 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Aug 24, 2025Updated 6 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Jul 20, 2024Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆34Feb 3, 2023Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Jul 4, 2024Updated last year
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Jul 22, 2020Updated 5 years ago
- Tensor-like types – with variadic shapes – that support both static and runtime type checking, and convenient parsing☆20Jan 9, 2026Updated 2 months ago
- Easily grab weather station data from around the globe (e.g. GHCN)☆29Oct 31, 2023Updated 2 years ago