PyTorch implementation of Neural Processes
☆88Feb 17, 2019Updated 7 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:
- Neural Processes implementation for 1D regression☆64Feb 21, 2019Updated 7 years ago
- Pytorch implementation of Neural Processes for functions and images☆237Feb 8, 2022Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,016Jan 19, 2021Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆54Jan 1, 2020Updated 6 years ago
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Pytorch Implementation of Attentive Neural Process☆74May 3, 2019Updated 6 years ago
- PyTorch for Neural Process in ICML 2018☆20Jun 23, 2019Updated 6 years ago
- Implementation of the Convolutional Conditional Neural Process☆129May 17, 2021Updated 4 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 5 years ago
- ☆10Mar 8, 2019Updated 7 years ago
- A framework for composing Neural Processes in Julia☆76May 3, 2021Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Nov 5, 2018Updated 7 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆99Mar 21, 2025Updated last year
- On the decision boundary of deep neural networks☆38Aug 23, 2018Updated 7 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.
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- ☆11May 26, 2023Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- python module for spatially explicit spectral analysis☆11Nov 20, 2019Updated 6 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Dec 30, 2015Updated 10 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Feb 3, 2018Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 10 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Jul 13, 2023Updated 2 years ago
- PyTorch implementations of the beta divergence loss.☆11Jan 31, 2022Updated 4 years ago
- PyTorch implement of Google Deep Dream☆36Dec 1, 2017Updated 8 years ago
- a python powered CUDA isomap implementation.☆12Sep 9, 2013Updated 12 years ago
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyTorch Implementation of Generative Query Network☆138Dec 13, 2018Updated 7 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆48Jun 16, 2023Updated 2 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆41Jan 14, 2019Updated 7 years ago
- ☆10Nov 14, 2021Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago