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Learn
App
Operations
Reference
Synapse
Validation
GPU lessons
Lab notebook
Deploy
Extend
Changelog
GPU signal processing for neural recordings
One library from a Python call to a lab server, on CUDA, wgpu or the CPU.
Get started
View on GitHub
Install with
pip install dspk
or
cargo add dspk
.
Learn
Install dsp-kitchen and run a first filter
App
Look at recordings and build pipelines without code
Operations
See what an operation does, in Python, Rust or the app
Reference
Look up what a function takes and returns
Validation
See how the numbers are checked
GPU lessons
Learn how signal processing is made fast on GPUs
Lab notebook
Read real runs, with their hardware and timings
Deploy
Run dsp-kitchen on a server for a lab
Extend
Add a format, an operation or a plugin
Plugins
Domains built on the core.
Synapse
Sort spikes on the GPU and check the units