Pytorch implementation of Neural Processes for functions and images
☆240Feb 8, 2022Updated 4 years ago
Alternatives and similar repositories for neural-processes
Users that are interested in neural-processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,026Jan 19, 2021Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- PyTorch implementation of Neural Processes☆89Feb 17, 2019Updated 7 years ago
- A Pytorch Implementation of Attentive Neural Process☆76May 3, 2019Updated 7 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Mar 21, 2025Updated last year
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆77May 1, 2022Updated 4 years ago
- A framework for composing Neural Processes in Julia☆74May 3, 2021Updated 5 years ago
- conditional neural process: tranlation of the tensorflow code to Pytorch☆18Apr 7, 2020Updated 6 years ago
- This is the official source code for Sequential Neural Processes.☆41Dec 8, 2022Updated 3 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 6 years ago
- ☆11May 26, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Repo for the code used in our preprint "The Neural Process Family: Survey, Applications and Perspectives"☆10Sep 1, 2022Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆561Feb 9, 2023Updated 3 years ago
- Official implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 4 years ago
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 8 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,935Oct 2, 2026Updated last month
- ☆13Apr 23, 2019Updated 7 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago
- PyTorch for Neural Process in ICML 2018☆20Jun 23, 2019Updated 7 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆153Nov 19, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Neural Processes implementation for 1D regression☆63Feb 21, 2019Updated 7 years ago
- Code for Neural Spline Flows paper☆296Oct 19, 2025Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆474Aug 28, 2024Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 6 years ago
- Neural Diffusion Processes☆84Aug 4, 2024Updated 2 years ago
- ☆38Nov 8, 2023Updated 2 years ago
- Parameter estimation for gravitational waves with machine learning☆10Aug 18, 2025Updated last year
- a deep recurrent model for exchangeable data☆35Jul 1, 2020Updated 6 years ago
- ☆14Nov 2, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Apr 15, 2026Updated 6 months ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 5 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆68Feb 19, 2021Updated 5 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆145Mar 22, 2021Updated 5 years ago