Delete README_ori.md

README_ori.md

-# binary_distinguish_GRB_by_DL
-Paper information：  
-```
-Peng Zhang, Bing Li, RenZhou Gui, et al. 2023. Application of Deep Learning Methods for Distinguishing Gamma-Ray Bursts from Fermi/GBM TTE Data. Submitted to journal (The Astrophysical Journal Supplement Series).
-```
-
-The deep learning algorithms  is applied to 
-distinguish gamma-ray bursts.   
-This directory contains dataset, deep learning algorithms, and candidates.   
-The samples in the dataset are count map consisting of light curves for each energy band, which extracted from the observation data of [Fermi/GBM](https://gammaray.nsstc.nasa.gov/gbm/).  
-The deep learning algorithms is convolutional neural network. 
-The candidates are the possible GRBs found from one year observations (20210701-20220701) of Fermi/GBM by applying the optimal model. 
-
-![210702A](./ref_file/example.png)
-Top: count map  
-Middle: light curve of all energy band  
-Bottom: heat map of features  
-
-## requirements
-
-numpy==1.15.4  
-kears==2.14   
-tensorflow==1.12.0  
-keras_contrib
-
-```
-how to install keras_contrib:  
---------------- 
-git clone https://www.github.com/keras-team/keras-contrib.git  
-cd keras-contrib  
-python setup.py install  
----------------
-or use keras source code (keras_contrib directory) directly
-
-```
-
-## Datasets
-
-download link:
-
-## Trained model
-
-download link of all models:  
-best model (ResNet-CBAM@64ms): [h5 file](./trained_model/resnet-CBAM_64ms.h5)
-
-## Candidates
-
-candidate list: [csv](./candidates/candidate_list_20221221.csv)  
-image of candidate list: [rar](./candidates/img_of_candidate_list_20221221.rar)  
-example:  
-![210702A](./ref_file/candidate_210702A_2021-07-02T002344.png)
-Left:  mapping-curves of feature    
-Right: heat map of features
-
-## train model
-
-how to train model
-
-see jupyter-notebook: [ipynb](./code/train_model.ipynb)
-
-## Test model
-
-how to test the already trained model
-
-see jupyter-notebook: [ipynb](./code/test_model.ipynb)
-
-## Citation
-
-If you use any part of this code, please cite our paper:  
-
-Peng Zhang, Bing Li, RenZhou Gui, et al. 2023. Application of Deep Learning Methods for Distinguishing 
-Gamma-Ray Bursts from Fermi/GBM TTE Data. Submitted to journal (The Astrophysical Journal Supplement Series).
-
-