DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
파일 탐색기
최종 버전 다운로드 (.zip)- test_features.csv
- test_labels.pkl
- train_features.csv
- train_labels.pkl
- data_l.npy
- data_r.npy
- dev-filtered.tsv
- embedding_matrix.npy
- results.pickle
- test-filtered.qrels
- test-filtered.tsv
- test.ref
- train-filtered.tsv
- data_l.npy
- data_r.npy
- embedding_matrix.npy
- new_ref
- results.pickle
- WikiQA-dev.txt
- WikiQA-test.ref
- WikiQA-test.txt
- WikiQA-train.txt
- __init__.py
- __init__.pyc
- layers.py
- layers.pyc
- __init__.py
- __init__.pyc
- dl.py
- dl.pyc
- hnd_ft.py
- lex_sem_ft.py
- metrics.py
- metrics.pyc
- model.py
- model.pyc
- rd_ft.py
- lex.npy
- numeric.npy
- read.npy
- lex.npy
- numeric.npy
- read.npy
- sim.npy
- sick_utils.py
- sick_utils.pyc
- trec_utils.py
- trec_utils.pyc
- wiki_utils.py
- wiki_utils.pyc
- abcnn.JPG
- main.py
- model_abcnn.py
- model_abcnn.pyc
- README.md
- requirements.txt
- Atten+LSTM.JPG
- main.py
- model_abcnn.py
- model_WALSTM.py
- model_WALSTM.pyc
- README.md
- requirements.txt
- cnn_ntn.PNG
- main.py
- model_cntn.py
- model_cntn.pyc
- README.md
- requirements.txt
- CorrMCNN_Arch2.py
- LICENSE
- README.md
- requirements.txt
- XRMB_CNN_17.06.v2.py
- DeepLearn_cornet.py
- final1.PNG
- final2.PNG
- README.md
- training_testing_data_corrnet.rar
- hold_out_ids.txt
- training_ids.txt
- __init__.pyc
- dataset.py
- dataset.pyc
- generate_test_splits.py
- generate_test_splits.pyc
- score.py
- score.pyc
- system.py
- system.pyc
- cnn_stop.py
- eval_fnc.py
- eval_fnc.pyc
- eval_sick.py
- feature_engineering.py
- feature_engineering.pyc
- floyd_requirements.txt
- fnc_kfold.py
- fnc_libs.py
- fnc_libs.pyc
- lstm_new.py
- p3_cnn.py
- p3_lstm.py
- requirements.txt
- run_sick.py
- ucl_fnc.py
- util.py
- util.pyc
- utility.py
- utility.pyc
- main.py
- malstm.JPG
- model_Siam_LSTM.py
- model_Siam_LSTM.pyc
- README.md
- requirements.txt
- ntn.py
- ntn_eval.py
- ntn_input.py
- ntn_model.py
- README.md
- cnn_sim.JPG
- main.py
- model_sim.py
- model_sim.pyc
- README.md
- requirements.txt
- im1.JPG
- main.py
- model.py
- model.pyc
- README.md
- requirements.txt
- LICENSE
- README.md
- requirements.txt
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/GauravBh1010tt/DeepLearn
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd DeepLearn
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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