文件名称：grasp-and-lift:Grasp-and-Lift EEG 检测 Kaggle 比赛
文件大小：17.11MB
文件格式：ZIP
更新时间：2024-08-06 06:59:21
Python
抓举 Grasp-and-Lift EEG 检测 Kaggle 比赛 设置 需要 pip 和 python 克隆仓库git clone https://github.com/jrubin01/grasp-and-lift.git cd grasp-and-lift 创建虚拟环境virtualenv venv source venv/bin/activate 安装所需的库pip install -r requirements.txt 启动 ipython ipython notebook
【文件预览】：
grasp-and-lift-master
----raw_eeg_low_freq.ipynb(10KB)
----beat_the_benchmark_original.ipynb(12KB)
----gradient_boosting_standard_scaler_0.4-30.ipynb(13KB)
----filterbank_gradient_boosting_standard_scaler.py(7KB)
----raw_eeg_full_train.py(4KB)
----split_train_test_all_events_itertools_recurrent_sliding_windows.ipynb(15KB)
----cross_val_auc.csv(210B)
----benchmark_csp_logisticregression.ipynb(244KB)
----simple_grasp_cross-validation.py(4KB)
----scripts_index.txt(4KB)
----split_train_test_in_memory.ipynb(32KB)
----raw_eeg_low_freq.py(4KB)
----testbook.ipynb(53KB)
----benchmark_gradient_boosting.ipynb(14KB)
----split_train_test_benchmark_recurrent_sliding_windows.ipynb(11KB)
----getting_started()
--------getting_started.ipynb(235KB)
--------evoked._aud_l.png(43KB)
--------epochs_data.mat(16.24MB)
----split_train_test_all_events_itertools.ipynb(13KB)
----cross_val_auc.png(10KB)
----requirements.txt(587B)
----replace_csp_logisticregression.py(7KB)
----filterbank_gradient_boosting_standard_scaler.ipynb(14KB)
----.gitignore(113B)
----split_train_test_benchmark_original.ipynb(12KB)
----benchmark_csp_logisticregression.py(7KB)
----split_train_test_filterbank_logistic_regression.ipynb(14KB)
----raw_eeg_full_train.ipynb(9KB)
----gradient_boosting_all_events_itertools.ipynb(16KB)
----README.md(538B)
----first_digit_touch_plot_0.png(331KB)
----split_train_test_all_events_csp.ipynb(16KB)
----replace_csp_logisticregression.ipynb(757KB)
----ensemble.ipynb(6KB)
----hand_start_plot_0.png(276KB)
----split_train_test_pywavelets.ipynb(19KB)