Data Tools for Neuromorphic Software
Discover essential data tools for neuromorphic software development.
Tonic is a Python package for managing and transforming neuromorphic datasets.
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A graph-based intermediate representation for computational graphs of spiking neural networks, enabling interoperability across different simulators and hardware.
Maintained by
Jens E. Pedersen, Felix Bauer, Jason Eshraghian, Bernhard Vogginger
NIR Support Hardware SupportView DetailsAEStream is a tool for transmitting event data efficiently, supporting diverse inputs/outputs and integrating with Python and C++ libraries.
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A domain-specific language and code generation toolchain for neuron and synapse models in spiking neural network simulation
Maintained by
Charl Linssen
Hardware SupportView DetailsA Python package to decode AEDAT 4 files from event cameras with a Rust implementation for speed.
Maintained by
Expelliarmus decodes event camera data into NumPy arrays, supporting various formats and offering ease of use for researchers and developers.
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