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sensorformer's Introduction

SensorFormer

  1. synthetic_data is the source code for Sec. II
  2. SensorFormer is the source code and data for our SensorFormer model
    • one2one-w-val.py: one2one calibration scheme
    • many2one-w-val.py: many2one calibration scheme
    • many2many-w-val.py: many2many calibration scheme
    • new_data/ : data used for the model
    • result/ : results
    • loss: loss functions used for the model
    • attention_map: attention map data used for the experiment section
  3. SensorFormer_Lite is the source code and data for SensorFormer Lite model
    • many2many_lite_random.py: input downsampling by random selection
    • many2many_lite_mean.py: input downsampling by using the mean value
    • many2many_lite_soft.py: input downsampling by weighted embeddings
    • new_data/ : data used for the model
    • result/ : results
    • loss: loss functions used for the model
    • attention_lite: attention map data used for the experiment section
  4. Arduino_model shows the code and steps to convert the trained model to code running on Arduino.

sensorformer's People

Contributors

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