{"id":20972914,"url":"https://github.com/ashishpatel26/rapidsai_machine_learning_on_gpu","last_synced_at":"2025-10-14T02:19:13.371Z","repository":{"id":107111221,"uuid":"375344980","full_name":"ashishpatel26/Rapidsai_Machine_learning_on_GPU","owner":"ashishpatel26","description":"Rapidsai_Machine_learnring_on_GPU","archived":false,"fork":false,"pushed_at":"2021-06-10T07:23:33.000Z","size":94,"stargazers_count":9,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-14T11:42:27.668Z","etag":null,"topics":["cudf","cuml","dask","dask-ml","deep-learning","machine-learning","machine-learning-algorithms","nvidia","pandas","scikit-learn","sklearn"],"latest_commit_sha":null,"homepage":"http://rapids.ai/","language":"Jupyter Notebook","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/ashishpatel26.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":"2021-06-09T12:20:06.000Z","updated_at":"2023-03-20T16:05:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"49495d06-cb5c-434d-8b35-8786b8b49c87","html_url":"https://github.com/ashishpatel26/Rapidsai_Machine_learning_on_GPU","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ashishpatel26/Rapidsai_Machine_learning_on_GPU","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishpatel26%2FRapidsai_Machine_learning_on_GPU","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishpatel26%2FRapidsai_Machine_learning_on_GPU/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishpatel26%2FRapidsai_Machine_learning_on_GPU/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishpatel26%2FRapidsai_Machine_learning_on_GPU/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ashishpatel26","download_url":"https://codeload.github.com/ashishpatel26/Rapidsai_Machine_learning_on_GPU/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishpatel26%2FRapidsai_Machine_learning_on_GPU/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279017675,"owners_count":26086125,"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","status":"online","status_checked_at":"2025-10-14T02:00:06.444Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["cudf","cuml","dask","dask-ml","deep-learning","machine-learning","machine-learning-algorithms","nvidia","pandas","scikit-learn","sklearn"],"created_at":"2024-11-19T04:10:45.666Z","updated_at":"2025-10-14T02:19:13.344Z","avatar_url":"https://github.com/ashishpatel26.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rapids.ai Machine learning on GPU [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)[![Open Source Love svg1](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](https://github.com/ellerbrock/open-source-badges/)\n[![Awesome Rapidsai](https://img.shields.io/badge/badges-awesome-green.svg)](https://github.com/Naereen/badges)\n\n\nThis repository supported by \n\n![](https://github.com/ashishpatel26/Rapidsai_Machine_learning_on_GPU/blob/main/images/rapidsailogo.jpg?raw=true)\n\n\n\n🤩**About Rapids**🤩\n\n- The RAPIDS suite of open source software libraries aim to enable execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.\n\n![](https://github.com/rapidsai/cudf/raw/branch-21.08/img/rapids_arrow.png)\n\n---\n\n### Outline\n\n---\n\n1. **10 Min to Pandas and  Cudf**  - [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ashishpatel26/Rapidsai_Machine_learning_on_GPU/blob/main/10_Min_to_Pandas_and_Cudf_Comparision_on_GPU.ipynb) [**Nbviewer**](https://nbviewer.jupyter.org/github/ashishpatel26/Rapidsai_Machine_learning_on_GPU/blob/main/10_Min_to_Pandas_and_Cudf_Comparision_on_GPU.ipynb)\n\n----\n\nHappy Learning\n\n---\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashishpatel26%2Frapidsai_machine_learning_on_gpu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashishpatel26%2Frapidsai_machine_learning_on_gpu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashishpatel26%2Frapidsai_machine_learning_on_gpu/lists"}