GitHub - tkeyo/tinyml-esp-data: Training machine learning models on time-series data for the tinyml-esp repository.

TinyML Data Exploration & Machine Learning

Data Exploration of acceleration and gyroscope data from ESP32 with MPU6500 sensor.

Data collected from the device was used to train an ML model that runs on the ESP32. The ML model and code on ESP32 is implemented in pure(Python).

A detailed walkthrough in the blog below.

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
.keepsake		.keepsake
backup		backup
data		data
models		models
output		output
.gitignore		.gitignore
1-eda.ipynb		1-eda.ipynb
2-baseline-model.ipynb		2-baseline-model.ipynb
3-baseline-model-validation.ipynb		3-baseline-model-validation.ipynb
4-inference-time-test.ipynb		4-inference-time-test.ipynb
5-optimize-models.ipynb		5-optimize-models.ipynb
6-optimized-model-validation.ipynb		6-optimized-model-validation.ipynb
7-debounce-inference.ipynb		7-debounce-inference.ipynb
README.md		README.md
eda_utils.py		eda_utils.py
keepsake.yaml		keepsake.yaml
requirements.txt		requirements.txt
validation_utils.py		validation_utils.py