{"id":21305287,"url":"https://github.com/deng-mit/kan-odes","last_synced_at":"2025-03-15T19:27:23.362Z","repository":{"id":263043903,"uuid":"851954592","full_name":"DENG-MIT/KAN-ODEs","owner":"DENG-MIT","description":"The code is associated with the paper entitled \"KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics\"","archived":false,"fork":false,"pushed_at":"2024-11-15T18:59:33.000Z","size":75594,"stargazers_count":19,"open_issues_count":0,"forks_count":5,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-22T08:43:14.867Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Julia","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DENG-MIT.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-04T01:10:55.000Z","updated_at":"2025-01-06T07:49:54.000Z","dependencies_parsed_at":"2024-11-15T19:36:57.658Z","dependency_job_id":"aeb0c4c9-cf8a-46a2-a319-01e2482c7275","html_url":"https://github.com/DENG-MIT/KAN-ODEs","commit_stats":null,"previous_names":["deng-mit/kan-odes"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DENG-MIT%2FKAN-ODEs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DENG-MIT%2FKAN-ODEs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DENG-MIT%2FKAN-ODEs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DENG-MIT%2FKAN-ODEs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DENG-MIT","download_url":"https://codeload.github.com/DENG-MIT/KAN-ODEs/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243779855,"owners_count":20346772,"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":[],"created_at":"2024-11-21T16:17:36.260Z","updated_at":"2025-03-15T19:27:23.336Z","avatar_url":"https://github.com/DENG-MIT.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# KAN-ODEs\nThe code is associated with the paper entitled \"KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics\" ([CMAME](https://www.sciencedirect.com/science/article/pii/S0045782524006522), [Arxiv](https://arxiv.org/abs/2407.04192)).\n\n# Lotka-Volterra\n\nPlease find the sources codes in the folder \"Lotka-Volterra\".\n\n# PDE examples\n\nPlease find the source codes in the folder \"PDE examples\".\n\n# Auxillary Pytorch code\n\nThe results in the corresponding manuscript are generated exclusively in Julia. We strongly recommend using the Julia code for speed, convergence, and robustness. However, we provide Pytorch code as well for users who may be interested in experimenting with KAN-ODEs in Python. Please find these in the folder \"Lotka-Volterra-Pytorch\".\n\n# Citation\n\nIf you use the code in your research or if you find our paper useful, please cite [this paper](https://www.sciencedirect.com/science/article/pii/S0045782524006522):\n\n```\n@article{koenig2024kanodes,\ntitle = {KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics},\njournal = {Computer Methods in Applied Mechanics and Engineering},\nvolume = {432},\npages = {117397},\nyear = {2024},\nissn = {0045-7825},\ndoi = {https://doi.org/10.1016/j.cma.2024.117397},\nurl = {https://www.sciencedirect.com/science/article/pii/S0045782524006522},\nauthor = {Benjamin C. Koenig and Suyong Kim and Sili Deng},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeng-mit%2Fkan-odes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeng-mit%2Fkan-odes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeng-mit%2Fkan-odes/lists"}