{"id":13738870,"url":"https://github.com/radiantearth/ml4eo-bootcamp-2021","last_synced_at":"2025-10-30T02:08:10.360Z","repository":{"id":46048747,"uuid":"356345720","full_name":"radiantearth/ml4eo-bootcamp-2021","owner":"radiantearth","description":"Machine Learning for Earth Observation Training of Trainers Bootcamp","archived":false,"fork":false,"pushed_at":"2021-11-17T20:56:49.000Z","size":66559,"stargazers_count":95,"open_issues_count":0,"forks_count":66,"subscribers_count":8,"default_branch":"main","last_synced_at":"2024-12-09T15:51:03.978Z","etag":null,"topics":["machine-learning","remote-sensing","satellite-imagery"],"latest_commit_sha":null,"homepage":"","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/radiantearth.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}},"created_at":"2021-04-09T17:10:11.000Z","updated_at":"2024-10-29T09:02:28.000Z","dependencies_parsed_at":"2022-09-23T07:11:40.051Z","dependency_job_id":null,"html_url":"https://github.com/radiantearth/ml4eo-bootcamp-2021","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/radiantearth%2Fml4eo-bootcamp-2021","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/radiantearth%2Fml4eo-bootcamp-2021/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/radiantearth%2Fml4eo-bootcamp-2021/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/radiantearth%2Fml4eo-bootcamp-2021/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/radiantearth","download_url":"https://codeload.github.com/radiantearth/ml4eo-bootcamp-2021/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230547686,"owners_count":18243227,"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":["machine-learning","remote-sensing","satellite-imagery"],"created_at":"2024-08-03T04:00:18.733Z","updated_at":"2025-10-30T02:08:10.341Z","avatar_url":"https://github.com/radiantearth.png","language":"Jupyter Notebook","funding_links":[],"categories":["Courses"],"sub_categories":[],"readme":"# A Training of Trainers Bootcamp on Machine Learning for Earth Observations \n\nThis repository contains materials from the virtual ML4EO Bootcamp run from May 3 through May 14. \n\n## Organizers\n\nThis bootcamp is organized by [Radiant Earth Foundation](www.radiant.earth) and [Makerere University](https://air.ug/) wirth support from [GIZ FAIR Forward, Artificial Intelligence for All, program](https://www.giz.de/expertise/html/61982.html).\n\n## Python Dependencies\n\nIn order to run the exercise notebooks, you will need to have Python 3.8 installed. You will also\nneed to install some Python dependencies. \n\nIf you are running the notebooks using Binder, all dependencies should be included in the host \nenvironment.\n\nIf you are running the notebooks on your local computer, go to the project root and run:\n\n```\npip install -r requirements_dev.txt\n```\n\nIf you are running the notebooks in Google Colab, you will need to create a new cell in the notebook\nwith the following content:\n\n```\nfrom pathlib import Path\nrequirements = Path.cwd().parent.parent / 'binder' / 'requirements.txt'\n\n!pip install -r $requirements\n```\n\nThere is also an [`environment.yml`](./environment-dev.yml) file that can be used to create a\n`conda` environment.\n\n```\nconda env create -n my-environment -f environment-dev.yml\n```\n\n\u003e **Windows Users**\n\u003e \n\u003e Some users were experiencing issues when trying to use `rasterio.warp` functions in a Windows\n\u003e environment. This is likely due to [this issue](https://github.com/mapbox/rasterio/issues/2079),\n\u003e which was fixed in version 1.2. If you are experiencing issues with `rasterio.warp` on Windows\n\u003e please verify that you are using `rasterio\u003e=1.2.0`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fradiantearth%2Fml4eo-bootcamp-2021","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fradiantearth%2Fml4eo-bootcamp-2021","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fradiantearth%2Fml4eo-bootcamp-2021/lists"}