|
1
|
Initial import: KNP experiments (examples, viz, cats-dogs, reports)
|
2026-10-14 18:17:15 +03:00 |
|
altai-objects
|
Inference-on-KNP pipeline: altai_infer, offline model building and readout training
|
2026-10-15 10:42:35 +03:00 |
|
augment
|
Cats/dogs v3 learned features for KNP, punishment in cats_dogs, readout variants
|
2026-10-14 21:54:09 +03:00 |
|
cats-dogs
|
KNP_W_RANGE option; weight range does not explain object gap
|
2026-10-15 06:56:14 +03:00 |
|
claude-memory
|
Reorganise reports by day (reports/<date>/), add index; move Claude memory into claude-memory/
|
2026-10-15 10:48:29 +03:00 |
|
examples
|
KNP_W_RANGE option; weight range does not explain object gap
|
2026-10-15 06:56:14 +03:00 |
|
features
|
Coarse stroke-feature preset; log fine-feature results
|
2026-10-14 19:49:56 +03:00 |
|
objects
|
Delta-rule KNP: augmented MNIST robustness, object runs; report section
|
2026-10-15 06:50:34 +03:00 |
|
onoff
|
ON/OFF input coding for mnist-learn: KNP_MNIST_INPUT_SIZE, dataset builder, simulator --pix
|
2026-10-14 18:35:27 +03:00 |
|
readout
|
Inference-on-KNP pipeline: altai_infer, offline model building and readout training
|
2026-10-15 10:42:35 +03:00 |
|
reports
|
Add 2026-10-07 report (KNP build in WSL)
|
2026-10-15 11:03:53 +03:00 |
|
viz
|
Visualizer: stroke-feature network with spiking readout panel
|
2026-10-15 01:58:22 +03:00 |
|
.gitignore
|
Initial import: KNP experiments (examples, viz, cats-dogs, reports)
|
2026-10-14 18:17:15 +03:00 |
|
knp-2.0.0-py3-none-any.whl
|
Initial import: KNP experiments (examples, viz, cats-dogs, reports)
|
2026-10-14 18:17:15 +03:00 |
|
knp-2.0.0-py3.14-linux-built.whl
|
Initial import: KNP experiments (examples, viz, cats-dogs, reports)
|
2026-10-14 18:17:15 +03:00 |
