Context Active Learning
Non-Uniform Subset Selection for Active Learning in Structured Data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Lstm Human Activity Recognition | 3,074 | a year ago | 19 | mit | Jupyter Notebook | |||||
| Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier | ||||||||||
| Human Activity Recognition Using Cnn | 355 | 4 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Convolutional Neural Network for Human Activity Recognition in Tensorflow | ||||||||||
| Hake | 197 | 8 months ago | mit | Python | ||||||
| HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21) | ||||||||||
| 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) | ||||||||||
| Rnn For Human Activity Recognition Using 2d Pose Input | 182 | 3 years ago | 18 | Jupyter Notebook | ||||||
| Activity Recognition from 2D pose using an LSTM RNN | ||||||||||
| Deep Learning Activity Recognition | 175 | 2 years ago | 1 | Python | ||||||
| A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow) | ||||||||||
| Gait Recognition Using Smartphones | 82 | 6 months ago | Jupyter Notebook | |||||||
| Deep Learning-Based Gait Recognition Using Smartphones in the Wild | ||||||||||
| M Pact | 78 | 5 years ago | mit | Python | ||||||
| A one stop shop for all of your activity recognition needs. | ||||||||||
| Har Cnn Keras | 75 | 5 years ago | 2 | Python | ||||||
| Human Activity Recognition Using Convolutional Neural Network in Keras | ||||||||||
| Radhar | 53 | 2 years ago | 3 | bsd-3-clause | Python | |||||
| Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar | ||||||||||
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