Pytorch implementation of Neural Processes for functions and images
☆237Feb 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…☆1,023Jan 19, 2021Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- PyTorch implementation of Neural Processes☆88Feb 17, 2019Updated 7 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆234Jun 12, 2024Updated last year
- A Pytorch Implementation of Attentive Neural Process☆75May 3, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 5 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
- A framework for composing Neural Processes in Julia☆76May 3, 2021Updated 5 years ago
- conditional neural process: tranlation of the tensorflow code to Pytorch☆18Apr 7, 2020Updated 6 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated last year
- This is the official source code for Sequential Neural Processes.☆42Dec 8, 2022Updated 3 years ago
- ☆11May 26, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Pytorch implementation of Augmented Neural ODEs☆555Feb 9, 2023Updated 3 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 6 years ago
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 7 years ago
- Official implementation of Transformer Neural Processes☆83Aug 21, 2022Updated 3 years ago
- Neural Processes implementation for 1D regression☆63Feb 21, 2019Updated 7 years ago
- PyTorch implementations of algorithms for density estimation☆587May 13, 2021Updated 5 years ago
- PyTorch for Neural Process in ICML 2018☆20Jun 23, 2019Updated 6 years ago
- ☆13Apr 23, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A framework for composing Neural Processes in Python☆90Dec 17, 2024Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,882May 1, 2026Updated 3 weeks ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆471Aug 28, 2024Updated last year
- ☆33Nov 8, 2023Updated 2 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆401May 8, 2024Updated 2 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 5 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆184Aug 19, 2021Updated 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.
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆152Nov 19, 2023Updated 2 years ago
- Code for Neural Spline Flows paper☆290Oct 19, 2025Updated 7 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆173Feb 11, 2022Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Jul 16, 2022Updated 3 years ago
- Neural Diffusion Processes☆83Aug 4, 2024Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago