{"id":17099920,"url":"https://github.com/cknd/pyesn","last_synced_at":"2025-04-07T07:10:10.493Z","repository":{"id":26857090,"uuid":"30317073","full_name":"cknd/pyESN","owner":"cknd","description":"Echo State Networks in Python","archived":false,"fork":false,"pushed_at":"2020-05-06T00:54:25.000Z","size":1198,"stargazers_count":302,"open_issues_count":10,"forks_count":122,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-03-31T06:02:54.451Z","etag":null,"topics":["echo-state-networks","python","reservoir-computing"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/cknd.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":"license.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2015-02-04T19:34:55.000Z","updated_at":"2025-03-25T18:53:50.000Z","dependencies_parsed_at":"2022-07-25T16:48:14.896Z","dependency_job_id":null,"html_url":"https://github.com/cknd/pyESN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cknd%2FpyESN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cknd%2FpyESN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cknd%2FpyESN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cknd%2FpyESN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cknd","download_url":"https://codeload.github.com/cknd/pyESN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247608151,"owners_count":20965952,"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":["echo-state-networks","python","reservoir-computing"],"created_at":"2024-10-14T15:11:47.484Z","updated_at":"2025-04-07T07:10:10.469Z","avatar_url":"https://github.com/cknd.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Echo State Networks in Python\n\n[Echo State Networks](http://www.scholarpedia.org/article/Echo_state_network) are easy-to-train recurrent neural networks, a variant of [Reservoir Computing](https://en.wikipedia.org/wiki/Reservoir_computing). In some sense, these networks show how far you can get with nothing but a good weight initialisation.\n\nThis ESN implementation is relatively simple and self-contained, though it offers tricks like noise injection and teacher forcing (feedback connections), plus a zoo of dubious little hyperparameters.\n\nHowever! If your aims are practical and your gradients automatic, consider using a fully trained network.\n\n# Examples\n\n- [learning to be a tunable frequency generator](http://nbviewer.ipython.org/github/cknd/pyESN/blob/master/freqgen.ipynb)\n- [learning a Mackey-Glass system](http://nbviewer.ipython.org/github/cknd/pyESN/blob/master/mackey.ipynb)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcknd%2Fpyesn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcknd%2Fpyesn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcknd%2Fpyesn/lists"}