Neural Processes implementation for 1D regression
☆63Feb 21, 2019Updated 7 years ago
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:
- PyTorch implementation of Neural Processes☆87Feb 17, 2019Updated 7 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,022Jan 19, 2021Updated 5 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆238Feb 8, 2022Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 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.
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Jul 17, 2017Updated 9 years ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆16May 4, 2025Updated last year
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆239Jun 12, 2024Updated 2 years ago
- ☆11Mar 13, 2023Updated 3 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 6 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 4 years ago
- Bayesian Optimization Meets Bayesian Optimal Stopping☆32Oct 24, 2020Updated 5 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.
- Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal…☆13Feb 11, 2023Updated 3 years ago
- Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"☆37Nov 3, 2016Updated 9 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 6 years ago
- Flexible Mixed Integer Evolutionary Strategies☆16Mar 19, 2025Updated last year
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 7 years ago
- A framework for composing Neural Processes in Julia☆75May 3, 2021Updated 5 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- ☆18Dec 31, 2018Updated 7 years ago
- [NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models☆11Apr 27, 2022Updated 4 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.
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Jul 11, 2019Updated 7 years ago
- CEVAE with VampPrior☆11Jul 18, 2018Updated 8 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Apr 27, 2022Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 7 years ago
- Peoplecott attempts to unveil the immoral behavior funded by brand loyalty.☆10Jun 29, 2024Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 6 years ago
- examples of Neural Autoregressive Flows☆14Aug 14, 2018Updated 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.
- ☆12Dec 20, 2019Updated 6 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆10Nov 10, 2020Updated 5 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆96Nov 23, 2017Updated 8 years ago
- [NeurIPS DBT 2021] HPO-B☆42Nov 8, 2025Updated 8 months ago
- ☆64Apr 25, 2018Updated 8 years ago
- Amdahl's profiler, directed optimization.☆22Feb 15, 2025Updated last year
- mlr3 extension for Fairness in Machine Learning☆15Apr 24, 2026Updated 3 months ago