{"id":19400939,"url":"https://github.com/sahil-rajwar-2004/vector.py-cuda","last_synced_at":"2025-04-24T06:33:02.407Z","repository":{"id":246624290,"uuid":"821534725","full_name":"0xhilSa/vector.py-cuda","owner":"0xhilSa","description":"a python lib for vector with GPU support","archived":false,"fork":false,"pushed_at":"2024-06-29T05:20:49.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-09T07:39:09.006Z","etag":null,"topics":["cuda-support","cuda-toolkit","python311","vector"],"latest_commit_sha":null,"homepage":"","language":"Python","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/0xhilSa.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":"2024-06-28T19:06:00.000Z","updated_at":"2024-06-29T05:24:33.000Z","dependencies_parsed_at":"2024-06-29T07:33:25.141Z","dependency_job_id":null,"html_url":"https://github.com/0xhilSa/vector.py-cuda","commit_stats":null,"previous_names":["sahil-rajwar-2004/vector.py-cuda","0xhilsa/vector.py-cuda"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xhilSa%2Fvector.py-cuda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xhilSa%2Fvector.py-cuda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xhilSa%2Fvector.py-cuda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/0xhilSa%2Fvector.py-cuda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/0xhilSa","download_url":"https://codeload.github.com/0xhilSa/vector.py-cuda/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250579029,"owners_count":21453404,"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":["cuda-support","cuda-toolkit","python311","vector"],"created_at":"2024-11-10T11:16:21.613Z","updated_at":"2025-04-24T06:33:02.033Z","avatar_url":"https://github.com/0xhilSa.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\" style=\"font-size: 3em\"\u003evector.py\u003c/h1\u003e\n\n## Usage:\n\n```python\nimport vector_cuda as vc\n\nx = vc.vector([1,2,3,4],device = \"cuda\")\ny = vc.vector([1,2,3,4])                    # by default the device will be set as CPU\n\nprint(x)                                    # output: \u003cvector object at 0x7f10f82f7fd0 size=4 device=cuda\u003e\nprint(x.array())                            # output: [1 2 3 4]\n\nprint(y)                                    # output: \u003cvector object at 0x7f10d4fdc310 size=4 device=cpu\u003e\nprint(y.array())                            # output: [1 2 3 4]\n```\n\n## Requirements:\n- [NVIDIA-Toolkit](https://developer.nvidia.com/cuda-downloads) must be installed on your system\n- nvcc compiler\n- python \u003e= 3.6\n\n\n## Installation:\n\n1. clone this repo\n    ```bash\n    git clone \"https://github.com/Sahil-Rajwar-2004/vector.py-CUDA.git\"\n    ```\n\n2. navigate to vector directory that you just downloaded/cloned\n\n3. see below instruction for different OS:\n\n    ### Windows Users:\n    \n    run `install.ps1` script on your current working directory\n\n    ```powershell\n    pwsh install.ps1\n    ```\n\n    ### Linux / MacOS:\n    \n    run `install.sh` script on your current working directory\n\n    ```bash\n    bash install.sh\n    ```\n\n\n## LICENSE\n\n### MIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahil-rajwar-2004%2Fvector.py-cuda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsahil-rajwar-2004%2Fvector.py-cuda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsahil-rajwar-2004%2Fvector.py-cuda/lists"}