{"id":44537280,"url":"https://github.com/maxbalrog/laser-jitter","last_synced_at":"2026-02-13T18:51:00.548Z","repository":{"id":195222141,"uuid":"684499975","full_name":"maxbalrog/laser-jitter","owner":"maxbalrog","description":"Helper data and model classes for time-series forecasting on temporal and STFT features","archived":false,"fork":false,"pushed_at":"2025-03-30T10:23:08.000Z","size":15642,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T11:25:29.038Z","etag":null,"topics":["jitter","laser-jitter","python","pytorch","rnn","time-series"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/maxbalrog.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-08-29T08:58:52.000Z","updated_at":"2024-03-05T15:30:37.000Z","dependencies_parsed_at":"2024-04-13T15:27:02.118Z","dependency_job_id":"6eff9ef4-7bdf-433b-8c8b-330892601e21","html_url":"https://github.com/maxbalrog/laser-jitter","commit_stats":null,"previous_names":["maxbalrog/laser-jitter"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/maxbalrog/laser-jitter","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxbalrog%2Flaser-jitter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxbalrog%2Flaser-jitter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxbalrog%2Flaser-jitter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxbalrog%2Flaser-jitter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/maxbalrog","download_url":"https://codeload.github.com/maxbalrog/laser-jitter/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maxbalrog%2Flaser-jitter/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29414285,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-13T06:24:03.484Z","status":"ssl_error","status_checked_at":"2026-02-13T06:23:12.830Z","response_time":78,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["jitter","laser-jitter","python","pytorch","rnn","time-series"],"created_at":"2026-02-13T18:51:00.345Z","updated_at":"2026-02-13T18:51:00.536Z","avatar_url":"https://github.com/maxbalrog.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predict spatial laser jitter with NNs\n\nThe package provides with a number of helper classes for time-series data pre-processing and model training/inference. Currently supported data classes and models (find details in [usage notebook](usage.ipynb)):\n1. Temporal\n2. STFT\n\n## Temporal models\nGiven time-series (past time steps), predict a certain amount of future time steps. Preprocessing includes smoothing (optional) and scaling.\n\n\u003cimg src=\"figures/temporal_model.png\" alt=\"drawing\" width=\"600\"/\u003e\n\n## STFT models\nTransform given time-series with Short Time Fourier Transform to spectrogram, filter non-dominant frequencies and scale them. Use NNs to predict future variation of real/imag part of each frequency band. Possible options: 1) one model to predict real/imag part for all frequency bands, 2) one model to predict real part for all frequency bands, another to predict imaginary part, 3) separate model for each frequency band.\n\n\u003cimg src=\"figures/stft_model.png\" alt=\"drawing\" width=\"600\"/\u003e\n\n## Installation\nClone the repository\n```bash\ngit clone https://github.com/maxbalrog/laser-jitter.git\n```\n\nCreate micromamba environment and activate it, e.g.,\n```bash\nmicromamba create -n laser-jitter python=3.12\nmicromamba activate laser-jitter\n```\n\nInstall the package in editable mode (specify path to the cloned repo)\n```bash\npip install -e laser-jitter\n```\n\nAlternatively, install laser-jitter package from github repository (but the package would be unmodifiable)\n```bash\npip install git+https://github.com/maxbalrog/laser-jitter.git\n```\n\n(Optional)\n\nRun tests to check everything runs as expected\n```bash\npython -m pytest laser-jitter/tests/\n```\n\n## TODO\n- Add attention architecture\n- Add hyperparameter optimization module\n\n## Acknowledgements\nPaper: in progress...\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaxbalrog%2Flaser-jitter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmaxbalrog%2Flaser-jitter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmaxbalrog%2Flaser-jitter/lists"}