{"id":21290201,"url":"https://github.com/ssydasheng/neural-kernel-network","last_synced_at":"2025-10-06T18:38:09.293Z","repository":{"id":61907891,"uuid":"108611790","full_name":"ssydasheng/Neural-Kernel-Network","owner":"ssydasheng","description":"Code for \"Differentiable Compositional Kernel Learning for Gaussian Processes\" https://arxiv.org/abs/1806.04326","archived":false,"fork":false,"pushed_at":"2018-07-10T12:21:22.000Z","size":2833,"stargazers_count":71,"open_issues_count":1,"forks_count":3,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-04-06T04:41:21.573Z","etag":null,"topics":["extrapolation","gaussian-processes","kernel-methods","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ssydasheng.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-10-28T01:54:14.000Z","updated_at":"2024-09-13T12:13:00.000Z","dependencies_parsed_at":"2022-10-23T11:16:37.633Z","dependency_job_id":null,"html_url":"https://github.com/ssydasheng/Neural-Kernel-Network","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ssydasheng/Neural-Kernel-Network","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssydasheng%2FNeural-Kernel-Network","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssydasheng%2FNeural-Kernel-Network/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssydasheng%2FNeural-Kernel-Network/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssydasheng%2FNeural-Kernel-Network/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ssydasheng","download_url":"https://codeload.github.com/ssydasheng/Neural-Kernel-Network/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ssydasheng%2FNeural-Kernel-Network/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264833280,"owners_count":23670617,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["extrapolation","gaussian-processes","kernel-methods","machine-learning"],"created_at":"2024-11-21T12:45:47.176Z","updated_at":"2025-10-06T18:38:04.269Z","avatar_url":"https://github.com/ssydasheng.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Neural Kernel Network\nThis code is jointly contributed by [Shengyang Sun](https://github.com/ssydasheng), [Guodong Zhang](https://github.com/gd-zhang), [Chaoqi Wang](https://github.com/alecwangcq) and [Wenyuan Zeng](https://github.com/joy820)\n## Introduction\nCode for \"Differentiable Compositional Kernel Learning for Gaussian Processes\" (https://arxiv.org/abs/1806.04326)\n\n## Dependencies\nThis project runs with Python 3.6. Before running the code, you have to install\n* [Tensorflow](https:www.tensorflow.org)\n* [GPflow-Slim](https://github.com/ssydasheng/GPflow-Slim)\n\n## Experiments\nBelow we shows some examples to run the experiments.\nWe also provide experiment figures and logging files in [results](./results) folder, as a reference.\n### Time Series\n```\npython exp/time-series.py --name airline --kern nkn\n```\n### Regression\n```\npython exp/regression.py --data energy --split uci_woval --kern nkn\npython exp/regression.py --data energy --split uci_woval_pca --kern nkn\n```\n### Bayesian Optimization\n```\npython exp/bayes-opt.py --name sty --kern nkn --run 0\n```\n### Texture Extrapolation\n```\npython exp/texture.py --data pave --kern nkn\n```\n## Citation\nTo cite this work, please use\n```\n@article{sun2018differentiable,\n  title={Differentiable Compositional Kernel Learning for Gaussian Processes},\n  author={Sun, Shengyang and Zhang, Guodong and Wang, Chaoqi and Zeng, Wenyuan and Li, Jiaman and Grosse, Roger},\n  journal={arXiv preprint arXiv:1806.04326},\n  year={2018}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fssydasheng%2Fneural-kernel-network","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fssydasheng%2Fneural-kernel-network","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fssydasheng%2Fneural-kernel-network/lists"}