{"id":21959897,"url":"https://github.com/cricksmaidiene/alivio","last_synced_at":"2026-04-15T15:35:44.724Z","repository":{"id":224465779,"uuid":"749643356","full_name":"cricksmaidiene/alivio","owner":"cricksmaidiene","description":"🛖 Building classification for natural disaster relief efforts","archived":false,"fork":false,"pushed_at":"2024-04-12T07:06:53.000Z","size":135681,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-10T08:24:51.389Z","etag":null,"topics":["geospatial-analysis","python","segmentation"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/cricksmaidiene.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":"2024-01-29T05:14:01.000Z","updated_at":"2024-02-26T15:11:50.000Z","dependencies_parsed_at":"2024-11-29T09:45:01.648Z","dependency_job_id":null,"html_url":"https://github.com/cricksmaidiene/alivio","commit_stats":null,"previous_names":["cricksmaidiene/alivio"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cricksmaidiene%2Falivio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cricksmaidiene%2Falivio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cricksmaidiene%2Falivio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cricksmaidiene%2Falivio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cricksmaidiene","download_url":"https://codeload.github.com/cricksmaidiene/alivio/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245013990,"owners_count":20547181,"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":["geospatial-analysis","python","segmentation"],"created_at":"2024-11-29T09:34:51.918Z","updated_at":"2026-04-15T15:35:39.690Z","avatar_url":"https://github.com/cricksmaidiene.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Alivio 🛖\n\n\u003e Building classification for natural disaster relief efforts\n\n![](https://img.shields.io/badge/Jupyter-F37626.svg?style=for-the-badge\u0026logo=Jupyter\u0026logoColor=white)\n![](https://img.shields.io/badge/Anaconda-44A833.svg?style=for-the-badge\u0026logo=Anaconda\u0026logoColor=white)\n![](https://img.shields.io/badge/Python-3776AB.svg?style=for-the-badge\u0026logo=Python\u0026logoColor=white)\n![](https://img.shields.io/badge/Git-F05032.svg?style=for-the-badge\u0026logo=Git\u0026logoColor=white)\n![](https://img.shields.io/badge/Amazon%20AWS-232F3E.svg?style=for-the-badge\u0026logo=Amazon-AWS\u0026logoColor=white)\n![](https://img.shields.io/badge/Google%20Colab-F9AB00.svg?style=for-the-badge\u0026logo=Google-Colab\u0026logoColor=white)\n\n- [Alivio 🛖](#alivio-)\n  - [Setup](#setup)\n    - [Prerequisites](#prerequisites)\n      - [Software](#software)\n      - [Access Keys](#access-keys)\n    - [Environment Setup](#environment-setup)\n    - [Download \\\u0026 Installation](#download--installation)\n  - [Scripts](#scripts)\n      - [Data Download Util](#data-download-util)\n  - [Directory Structure](#directory-structure)\n\n## Setup\n\n### Prerequisites\n\n#### Software\n\nThe following software should be pre-installed on the system using this repository:\n\n- [`conda`](https://docs.anaconda.com/anaconda/install/index.html) or a virtual environment\n- [`git`](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) for version control\n\n#### Access Keys\n\nCreate the following keys if you don't have them\n\n- [GitHub Developer Access Token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) - to push and pull code to and from GitHub. This should be saved to the terminal or command line.\n- [AWS IAM Credentials](https://k21academy.com/amazon-web-services/create-access-and-secret-keys-in-aws/) - to access AWS resources remotely.\n  - Access Key\n  - Secret Access Key\n\n### Environment Setup\n\nThe following commands need to be run only once, during the initial setup process.\n\n- Create a conda environment\n  - Create the environment (name `alivio` is optional and name can be used)\n\n    ```bash\n    conda create --name alivio python=3.10 -y\n    ```\n\n  - Activate the environment\n\n    ```bash\n    conda activate alivio\n    ```\n\n  - Create a Jupyter Notebook Kernel\n\n    ```bash\n    conda install -c anaconda ipykernel -y\n    python -m ipykernel install --user --name=alivio\n    ```\n\n- Install poetry for python dependency management\n\n  ```bash\n  pip install poetry\n  ```\n\n- Configure AWS Credentials. This command will open up a terminal-based prompt with 4 inputs.\n\n  ```bash\n  pip install awscli\n  aws configure\n  ```\n\n  - Access Key: Your AWS Access Key\n  - Secret Access Key: Your AWS secret access key\n  - region: `us-east-1`\n  - format: `json`\n\n### Download \u0026 Installation\n\nThe following commands need to be run only once, during the initial setup process.\n\n- Clone the GitHub repository\n\n  ```bash\n  git clone https://github.com/cricksmaidiene/alivio\n  ```\n\n- Visit the repository locally\n  \n  ```bash\n  cd alivio\n  ```\n\n- Install the python dependencies (make sure the `alivio` conda environment is active)\n\n  ```bash\n  poetry install --no-root\n  ```\n\nYou can now start executing notebooks and code within this virtual environment.\n\n## Scripts\n\n#### Data Download Util\n\nThis utility downloads relevant dataset used by the project into the `/data` directory\n\nAdditionally install the below package\n\n```bash\npip install chardet\n```\n\nRun the below command\n```bash\npython src/utils/sync_data.py\n```\n\n\n\n## Directory Structure\n\n- `/src`: for all source code and notebook files\n  \n  - `src/01_data_ingestion`: For notebooks and source related to ingesting raw data\n  - `src/02_data_analysis`: For EDA, visualization and other analysis tasks\n  - `src/03_data_engineering`: For preprocessing the dataset or performing feature engineering\n  - `src/04_models`: For model training, fine-tuning and experimentation\n\n- `/data`: For all data extracts saved locally\n- `/docs`: For internal team documentation\n- `/app`: For the web-interface\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcricksmaidiene%2Falivio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcricksmaidiene%2Falivio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcricksmaidiene%2Falivio/lists"}