Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Dl 4 Tsc | 1,249 | a year ago | 13 | gpl-3.0 | Python | |||||
Deep Learning for Time Series Classification | ||||||||||
Dl Workshop Series | 935 | 5 months ago | 1 | apache-2.0 | Jupyter Notebook | |||||
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT) | ||||||||||
Lstm Fcn | 388 | 5 years ago | 7 | Python | ||||||
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification | ||||||||||
Ucr_time_series_classification_deep_learning_baseline | 385 | 5 years ago | 10 | Python | ||||||
Fully Convlutional Neural Networks for state-of-the-art time series classification | ||||||||||
Mlstm Fcn | 241 | 4 years ago | 5 | Python | ||||||
Multivariate LSTM Fully Convolutional Networks for Time Series Classification | ||||||||||
Seriesnet | 202 | 2 years ago | mit | Python | ||||||
Time series prediction using dilated causal convolutional neural nets (temporal CNN) | ||||||||||
Motion Sense | 189 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19) | ||||||||||
Tcdf | 121 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series | ||||||||||
Gan Rnn_timeseries Imputation | 118 | 2 years ago | 6 | mit | Jupyter Notebook | |||||
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle. | ||||||||||
Aaltd18 | 80 | 6 years ago | 1 | gpl-3.0 | Python | |||||
Data augmentation using synthetic data for time series classification with deep residual networks |