| data_yaml_files | Add YAML type data files for training | |
| detection_scripts | Initial commit | |
| file_management_scripts | Initial commit | |
| jupyter_notebooks | Add the Jupyter Notebooks used for the main course of the project | |
| other | Initial commit | |
| training_scripts | Correct 2023年01月08日 YOLOv7-Tiny training script | |
| weights | Add trained models / weights | |
| COPYING | Add license information | |
| README.md | Add license information | |
Supernovae Detection
About
This is the main working repository for our scholarship-awarded supernovae detection graduation project, which is about detection of supernovae using state-of-the-art machine learning models.
Training
TODO: Document training of all trained models.
Roadmap
TODO: Design the roadmap.
License
Copyright (C) 2022-2023 Abdullah Çırağ, İkra Nergiz
Supernova Detection is distributed under the terms of the GNU General Public
License as published by the Free Software Foundation, version 3. A copy of this
license can be found in the file COPYING included with the source code of this
program. If not, see https://www.gnu.org/licenses/.
This program is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.