In this ML & data engineering section, you will discover useful techniques to train your models, generate synthetic datasets, or to perform advanced feature extraction:

Edge Impulse Python SDK

• Using the Edge Impulse Python SDK to run EON Tuner

• Using the Edge Impulse Python SDK to upload and download data

• Using the Edge Impulse Python SDK with Hugging Face

• Using the Edge Impulse Python SDK with SageMaker Studio

• Using the Edge Impulse Python SDK with TensorFlow and Keras

• Using the Edge Impulse Python SDK with Weights & Biases

Synthetic data

Learn about synthetic data and how to integrate synthetic data models into your Edge Impulse project with the following guides:

• Synthetic data overview

• Synthetic data integration

The following tutorials detail how to work with synthetic datasets in Edge Impulse:

• Generate audio with Eleven Labs Sound Effects model datasets

• Generate image datasets using Dall·E

• Generate keyword-spotting datasets

• Generate physics simulation datasets

See also:

• Generate synthetic datasets using custom transformation blocks

• Generate synthetic datasets using NVIDIA Omniverse

Other

• Classification with multiple 2D inputs

• FOMO self-attention

• Label audio data using your existing models

• Label image data using GPT-4o

While the Edge Impulse Studio is a great interface for guiding you through the process of collecting data and training a model, the edgeimpulse Python SDK allows you to programmatically Bring Your Own Model (BYOM), developed and trained on any platform. See here for the Python SDK API reference documentation.

With the following tutorials, you will learn how to use the Edge Impulse Python SDK with a number of other machine-learning frameworks and platforms:

• Using the Edge Impulse Python SDK to run EON Tuner

• Using the Edge Impulse Python SDK to upload and download data

• Using the Edge Impulse Python SDK with Hugging Face

• Using the Edge Impulse Python SDK with SageMaker Studio

• Using the Edge Impulse Python SDK with TensorFlow and Keras

• Using the Edge Impulse Python SDK with Weights & Biases