文件名称：project-sturm_drang:轻轨振动分析
文件大小：214.18MB
文件格式：ZIP
更新时间：2024-05-01 21:14:26
JupyterNotebook
轻轨振动分析 不要看档案，它是一个可怕的地方，充满了过时，多余和可能冲突的代码。
【文件预览】：
project-sturm_drang-master
----.gitignore(55B)
----archive()
--------alt_modular.py(9KB)
--------data_prep.ipynb(69KB)
--------ft_first_3000.csv(3B)
--------track_speed_hist.png(7KB)
--------init_lstm_optim_state_epoch_10.dat(5KB)
--------03-26-19_ch2.big(53.67MB)
--------capstone2_milestone 2.ipynb(4KB)
--------lstm.ipynb(140KB)
--------lstm2_data_prep.py(5KB)
--------Figure 2020-11-08 143421.png(29KB)
--------LSTM_pipeline.py(2KB)
--------LSTM_classes.py(89B)
--------track_num_hist.png(6KB)
--------01-08-19-V118_ch1.big(53.22MB)
--------Untitled.ipynb(9.4MB)
--------checkpoint.pth(1.06MB)
--------03-26-19_ch1.big(51.23MB)
--------EDA.ipynb(2.4MB)
--------08-14-18-V118_ch1.big(32.59MB)
--------01-08-19-V118_ch2.big(53.19MB)
--------init_lstm_epoch_10.dat(4KB)
--------LSTM_sentiment_test.py(13KB)
--------lstm_model_01.py(4KB)
--------lstm_multivariate_working.py(5KB)
--------speed_hist.png(6KB)
--------Working_train_nn_conv-Copy1.ipynb(135KB)
--------init_lstm_state_epoch_10.dat(3KB)
--------EDA2.ipynb(8.86MB)
--------eda2_b.ipynb(15.02MB)
--------snoop analysis.py(628B)
--------LSTM_modular_two_sensor.py(20KB)
--------LSTM_classes_functions.py(12KB)
--------Working_train_nn-Copy1.ipynb(80KB)
--------Figure 2020-11-08 143412.png(32KB)
--------lstm2.py(3KB)
--------linear_LSTM.py(7KB)
--------gps_inclusion.ipynb(3.65MB)
--------torch_loader_tute.py(8KB)
--------LSTM_modular_combined.py(15KB)
--------LSTM_modular.py(20KB)
--------data_prep_development.ipynb(540KB)
--------Working_train_nn_conv.ipynb(1.33MB)
--------data_prep_final.ipynb(17KB)
--------main.py(0B)
--------lstm2_data_prep_double_sensor.py(6KB)
--------03-05-19_ch2.big(62.22MB)
--------Untitled1.ipynb(2KB)
--------08-14-18-V118_ch2.big(32.46MB)
--------Working_train_nn_conv-Copy2.ipynb(322KB)
--------lstm_training.ipynb(153KB)
--------EDA3.ipynb(4.36MB)
--------testing_Conv1D.ipynb(38KB)
--------lstm_network.py(2KB)
--------Working_train_nn.ipynb(47KB)
--------lstm_examples.py(10KB)
--------bayesian_optimiser_tute.py(5KB)
--------03-05-19_ch1.big(62.08MB)
----.ipynb_checkpoints()
--------Working_train_nn_conv-Copy1-checkpoint.ipynb(1.33MB)
--------lstm-checkpoint.ipynb(72B)
--------Working_train_nn-checkpoint.ipynb(34KB)
--------capstone2_milestone 2-checkpoint.ipynb(3KB)
--------eda2_b-checkpoint.ipynb(72B)
--------Working_train_nn_conv-checkpoint.ipynb(1.1MB)
--------Working_train_nn_conv-Copy2-checkpoint.ipynb(68KB)
--------Untitled-checkpoint.ipynb(72B)
--------EDA-checkpoint.ipynb(2.12MB)
--------EDA2-checkpoint.ipynb(72B)
--------Untitled1-checkpoint.ipynb(72B)
--------Working_train_nn-Copy1-checkpoint.ipynb(76KB)
--------data_prep_final-checkpoint.ipynb(11KB)
--------data_prep_development-checkpoint.ipynb(22KB)
--------lstm_training-checkpoint.ipynb(72B)
--------data_prep-checkpoint.ipynb(72B)
--------gps_inclusion-checkpoint.ipynb(3.51MB)
--------testing_Conv1D-checkpoint.ipynb(72B)
--------EDA_report-checkpoint.ipynb(1.41MB)
--------EDA3-checkpoint.ipynb(72B)
----requirements.txt(0B)
----EDA_report.html(1.97MB)
----README.md(140B)
----.idea()
--------.gitignore(245B)
--------misc.xml(198B)
--------vcs.xml(180B)
--------other.xml(176B)
--------inspectionProfiles()
--------sturm.iml(521B)
--------modules.xml(262B)
----__pycache__()
--------LSTM_classes_functions.cpython-38.pyc(7KB)
--------LSTM_classes_functions.cpython-37.pyc(8KB)
----EDA_report.ipynb(1.41MB)