Gaussian processes with PyTorch
☆31Nov 4, 2021Updated 4 years ago
Alternatives and similar repositories for gptorch
Users that are interested in gptorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Gaussian Processes in Pytorch☆76Feb 26, 2020Updated 6 years ago
- Genetic Algorithm Feature Engineering☆15Oct 3, 2017Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- chainer.Chain☆13Jun 28, 2017Updated 9 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.
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆111Aug 4, 2020Updated 6 years ago
- Storing time-series data in gcp☆11Mar 15, 2023Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆98May 11, 2022Updated 4 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆16Jun 10, 2023Updated 3 years ago
- ☆14Dec 15, 2022Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- ☆11Jun 17, 2016Updated 10 years ago
- Unsupervised Disentanglement Representation Learning in Chainer☆20Mar 24, 2023Updated 3 years ago
- ☆15Feb 17, 2019Updated 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.
- A collection of commonly used datasets as benchmarks for density estimation☆23Dec 16, 2019Updated 6 years ago
- Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multi-phase flow in heterogeneous random media☆16Apr 17, 2019Updated 7 years ago
- Random Fourier Features☆50May 5, 2017Updated 9 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Oct 31, 2017Updated 8 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- ☆19Jan 27, 2018Updated 8 years ago
- A time-series data cache☆48May 9, 2020Updated 6 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 Cycle.js Driver for making HTTP requests using fetcher.☆14Oct 8, 2015Updated 10 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Apr 4, 2017Updated 9 years ago
- Itamae template generator for roles and cookbooks☆11Jun 2, 2016Updated 10 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- ☆16Apr 10, 2024Updated 2 years ago
- ☆20Dec 13, 2023Updated 2 years ago
- Repository for labs☆14Sep 5, 2025Updated 11 months ago
- Repository for "Learning action-oriented models through active inference"☆12May 11, 2020Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆21Mar 27, 2019Updated 7 years ago
- (Python3- TensorFlow 1.5) Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"☆13Mar 23, 2018Updated 8 years ago
- ☆32Jun 18, 2026Updated last month
- Preconditioning Kernel Matrices☆16Jun 9, 2016Updated 10 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 8 years ago