8000 GitHub - HimangiM/Depression_Detection: Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.

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Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.

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Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
CEK		CEK
codes		codes
README.md		README.md
augment_sessions.ipynb		augment_sessions.ipynb
count_questions_plot.py		count_questions_plot.py
create_validation_test.py		create_validation_test.py
divide_frames_transcript.py		divide_frames_transcript.py
labels_end_file.py		labels_end_file.py
lstm-10fps-10eps.py		lstm-10fps-10eps.py
lstm_torch.py		lstm_torch.py
lstm_torch_10fps.py		lstm_torch_10fps.py
lstm_torch_300-313.py		lstm_torch_300-313.py
lstm_torch_30fps.py		lstm_torch_30fps.py
lstm_usc(1).py		lstm_usc(1).py
nn_usc.py		nn_usc.py
normalize_feature.py		normalize_feature.py
reduce_fps.py		reduce_fps.py
rnn.py		rnn.py
txt_csv.py		txt_csv.py