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| algorithms | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| analysis | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| audio | Play recorded clips in the clip editor, via a Player shared with the explorer | |
| bench | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| export | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| ui | Explorer: caption the ground-truth and detection bands so their roles are explicit | |
| demo.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| m-raw.d.ts | audio-spike-sorting: benchmark framework for audio event detection and classification | |
| main.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| project-file.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |
| store.ts | Download runs as a .zip for offline development: WAVs, ground truth, training snippets, algorithm sources, and a numbl evaluation harness that reproduces the browser scores | |