{"id":15691020,"url":"https://github.com/ritchieng/the-incredible-rapids","last_synced_at":"2026-01-08T06:30:32.220Z","repository":{"id":81292442,"uuid":"212235432","full_name":"ritchieng/the-incredible-rapids","owner":"ritchieng","description":"The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.","archived":false,"fork":false,"pushed_at":"2019-10-02T02:03:17.000Z","size":2,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-02-05T14:13:26.751Z","etag":null,"topics":["blazingsql","cudf","cugraph","cuml","rapids"],"latest_commit_sha":null,"homepage":null,"language":null,"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/ritchieng.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":"2019-10-02T01:52:13.000Z","updated_at":"2024-11-16T07:37:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"922ac051-7036-40b6-9f7d-2e73c51399fd","html_url":"https://github.com/ritchieng/the-incredible-rapids","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/ritchieng%2Fthe-incredible-rapids","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ritchieng%2Fthe-incredible-rapids/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ritchieng%2Fthe-incredible-rapids/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ritchieng%2Fthe-incredible-rapids/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ritchieng","download_url":"https://codeload.github.com/ritchieng/the-incredible-rapids/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246315043,"owners_count":20757613,"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":["blazingsql","cudf","cugraph","cuml","rapids"],"created_at":"2024-10-03T18:18:59.270Z","updated_at":"2026-01-08T06:30:32.170Z","avatar_url":"https://github.com/ritchieng.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Incredible RAPIDS\n\n\u003cimg src=\"https://img.shields.io/badge/license-MIT-blue.svg\"/\u003e\n\nThis is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the RAPIDS. Feel free to make a pull request to contribute to this list.\n\n## Official Repositories\n- [cuDF, something like Pandas on GPU](https://github.com/rapidsai/cudf)\n- [cuML, something like Scikit-learn on GPU](https://github.com/rapidsai/cuml)\n- [cuGraph, GPU Graph Analytics](https://github.com/rapidsai/cugraph)\n- [BlazingSQL, ETL data directly to GPU](https://github.com/BlazingDB/pyBlazing)\n\n## Official Guides\n- [Notebooks](https://github.com/rapidsai/notebooks)\n- [Community Notebooks](https://github.com/rapidsai/notebooks-contrib)\n\n## cuDF\n- [GPU Fractional Differencing to make time series stationary](https://github.com/ritchieng/fractional_differencing_gpu)\n\t- [Even faster but less intuitive GPU Fractional Differencing](https://github.com/rapidsai/gQuant/blob/develop/notebooks/07_fractional_differencing.ipynb)\n- [Using NVIDIA RAPIDS to mine Seattle Parking Data](https://github.com/drabastomek/rapids-notebooks)\n\n## Credits\nThis is based off my more long-standing established repository [The Incredible PyTorch](https://github.com/ritchieng/the-incredible-pytorch) and also the newly-established [The Incredible TensorFlow 2](https://github.com/ritchieng/the-incredible-tensorflow).\n\n\n## Contributions\nDo feel free to contribute!\n\nYou can raise an issue or submit a pull request, whichever is more convenient for you. The guideline is simple: just follow the format of the previous bullet point. **Take note, implementations are strictly based on TensorFlow 2 onwards only.**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fritchieng%2Fthe-incredible-rapids","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fritchieng%2Fthe-incredible-rapids","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fritchieng%2Fthe-incredible-rapids/lists"}