{"id":26560742,"url":"https://github.com/dmitreiro/mlpcp-interp","last_synced_at":"2025-06-14T11:07:12.148Z","repository":{"id":264711283,"uuid":"875225174","full_name":"dmitreiro/mlpcp-interp","owner":"dmitreiro","description":"Study of interpolation applied to datasets on ML for predicting constitutive parameters.","archived":false,"fork":false,"pushed_at":"2025-05-09T14:24:46.000Z","size":1561,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-09T14:41:36.659Z","etag":null,"topics":["abaqus-python-script","machine-learning","python","simulation"],"latest_commit_sha":null,"homepage":"","language":"Fortran","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/dmitreiro.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,"zenodo":null}},"created_at":"2024-10-19T12:24:06.000Z","updated_at":"2025-05-09T14:24:49.000Z","dependencies_parsed_at":"2025-01-02T21:25:21.402Z","dependency_job_id":"8d2aba0f-2f6a-4525-a601-8f4d6601d444","html_url":"https://github.com/dmitreiro/mlpcp-interp","commit_stats":null,"previous_names":["dmitreiro/mlccm","dmitreiro/mlpcp-interp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dmitreiro/mlpcp-interp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmitreiro%2Fmlpcp-interp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmitreiro%2Fmlpcp-interp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmitreiro%2Fmlpcp-interp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmitreiro%2Fmlpcp-interp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmitreiro","download_url":"https://codeload.github.com/dmitreiro/mlpcp-interp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmitreiro%2Fmlpcp-interp/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259804869,"owners_count":22913903,"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":["abaqus-python-script","machine-learning","python","simulation"],"created_at":"2025-03-22T13:20:03.787Z","updated_at":"2025-06-14T11:07:12.128Z","avatar_url":"https://github.com/dmitreiro.png","language":"Fortran","funding_links":[],"categories":[],"sub_categories":[],"readme":"# mlpcp-interp\n**Machine Learning** for **Prediction** of **Constitutive Parameters** - **Interpolation** study\n\n## :gear: Setup\n\n### Clone\n\nOpen terminal, change your current working directory to the location where you want the cloned directory and then clone this repository to your local machine\n\n```\ngit clone https://github.com/dmitreiro/mlpcp-interp.git\n```\n\n### Config\n\nInside your repository home folder, edit ```config/config.ini``` file to define your paths.\n\n### Environment\n\nNext, install **Anaconda** for managing your Python environments. You can check documentation [here](https://docs.anaconda.com/anaconda/install/).\\\nAfter the installation, create an empty environment using **Python 3.11.10**\n\n```\nconda create --name \u003cyour_env_name\u003e python=3.11.10\nconda activate \u003cyour_env_name\u003e\n```\n\nThen, navigate to your repository home folder and install dependencies\n\n```\npip install -r requirements.txt\n```\n\n### Run your code\n\nNow, you are ready to rock :sunglasses:\\\nJust run\n\n```\npython main.py\n```\n\n## :balance_scale: License\n\nThis project is licensed under the MIT License, which allows anyone to use, modify, and distribute this software for free, as long as the original copyright and license notice are included. See the [LICENSE](LICENSE) file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmitreiro%2Fmlpcp-interp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmitreiro%2Fmlpcp-interp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmitreiro%2Fmlpcp-interp/lists"}