This section contains examples demonstrating how to use Ember ML for various tasks.
The following examples are available in the examples directory:
-
Neural Network Examples:
- LTC Example: Liquid Time Constant neurons
- NCP Example: Neural Circuit Policies
- CFC Example: Continuous-time Fully Connected networks
- LSTM Example: Long Short-Term Memory networks
- GRU Example: Gated Recurrent Units
- RNN Example: Recurrent Neural Networks
-
Backend Examples:
- Backend Auto Selection Demo: Automatic backend selection
- MLX Examples: Examples using the MLX backend
-
Feature Extraction:
- Purified Feature Extractor Demo: Feature extraction
- demos/: Demonstration scripts
- ltc/: Liquid Time Constant examples
- mlx/: MLX backend examples
- rbm/: Restricted Boltzmann Machine examples
For more information, see the examples README.