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☆88Feb 17, 2019Updated 7 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,023Jan 19, 2021Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆237Feb 8, 2022Updated 4 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated last year
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 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.
- 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 last year
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Jul 17, 2017Updated 8 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆234Jun 12, 2024Updated last year
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Jul 17, 2020Updated 5 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 6 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.
- A framework for composing Neural Processes in Julia☆76May 3, 2021Updated 5 years ago
- Explore using "Conditional Neural Process" for clustering longitudinal data efficiently☆13Oct 7, 2018Updated 7 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago
- [NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models☆11Apr 27, 2022Updated 4 years ago
- ☆18Dec 31, 2018Updated 7 years ago
- Stability Selection with Error Control☆27Jan 30, 2026Updated 3 months ago
- ☆11Feb 25, 2026Updated 3 months ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Jul 11, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- R Package: Simple Toolkit in R for ANomaly Get, Explain and Report☆11Oct 8, 2022Updated 3 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 2023Updated 3 years ago
- 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
- 学堂在线视频字幕下载☆11Mar 7, 2022Updated 4 years ago
- ☆11Jun 11, 2025Updated 11 months ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Apr 27, 2022Updated 4 years ago
- ☆11Mar 13, 2017Updated 9 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
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆11May 26, 2023Updated 3 years ago
- A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry☆32Apr 17, 2021Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆130May 17, 2021Updated 5 years ago
- List of papers on robust Bayesian optimization☆17Dec 2, 2021Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 6 years ago
- Python implementation of the partially observable hidden Markov model☆21Oct 11, 2019Updated 6 years ago