https://github.com/veeara282/deepsolar-v2
Reimplementation of DeepSolar
https://github.com/veeara282/deepsolar-v2
Last synced: 4 months ago
JSON representation
Reimplementation of DeepSolar
- Host: GitHub
- URL: https://github.com/veeara282/deepsolar-v2
- Owner: veeara282
- License: mit
- Created: 2020-10-31T20:20:40.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2020-11-11T03:23:28.000Z (over 4 years ago)
- Last Synced: 2025-01-02T00:15:27.765Z (6 months ago)
- Language: Jupyter Notebook
- Size: 11.7 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# deepsolar-v2
Reimplementation of DeepSolar using Keras and TensorFlow 2.x
## Setup instructions
1. Clone this repository:
```
git clone https://github.com/aidan-fitz/deepsolar-v2.git
```
2. Download the dataset from Academic Torrents using a BitTorrent client.
- Training set: [SPI_train.tar.gz](https://academictorrents.com/details/8649f33cf8d661cbf3290bd4216c6ac637b777e0)
- Test set: [SPI_eval.tar.gz](https://academictorrents.com/details/0a3344160f3bb1b6a82f2552cf8503d25e1b6b48)
- Validation set: [SPI_val.tar.gz](https://academictorrents.com/details/f0977a00ca9d61eefdfa232515ac6690d3b56fc5)
3. Extract each of these files into the folder where your repository is:
```
cd deepsolar-v2
tar xzvf SPI_train.tar.gz
tar xzvf SPI_val.tar.gz
tar xzvf SPI_eval.tar.gz
```
Your directory structure should look like this:
```
deepsolar-v2/
|- SPI_train/
|- SPI_val/
|- SPI_eval/
|- [repository contents]
```
4. Create a virtual environment and activate it (requires Python 3.x):
```
python3 -m venv env
source env/bin/activate
```
5. Install the requirements:
```
pip3 install -r requirements.txt
```
## Running
To run any of the Jupyter notebooks in this repository, run:
```
jupyter notebook
```