NeuroFade
Live Forgetting Visualizer — see your neural network forget in real time.
What
Tracks per-neuron activation retention across training tasks and renders the forgetting process as animated heatmaps. Watch your model lose knowledge in real time.
Install
pip install neurofade
Quick Start
from neurofade import ForgettingVisualizer
viz = ForgettingVisualizer(model, baseline_task=train_task_1_loader)
# Wraps your training loop
with viz.watch():
trainer.fit(task_2_loader)
viz.export("forgetting.mp4")
viz.share() # Upload to public URL
Why
Catastrophic forgetting is invisible until it tanks your model. NeuroFade makes it undeniable.
- Layers fade in real-time — see which neurons die first
- Export as GIF/MP4 — shareable artifacts
- Per-task baselines — measures retention against any previous task
- Framework-agnostic — works with PyTorch, TensorFlow, JAX
The Vibe
Your model is dying. Now you can see it.
Release files for neurofade 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neurofade-0.1.0.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neurofade-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.9 kB
Release files / neurofade-0.1.0.tar.gz
| Download URL | neurofade-0.1.0.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / neurofade-0.1.0-py3-none-any.whl
| Download URL | neurofade-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f4083297b544eb48c135cc7dd5a4ba18762a8fbf4b011bad60d95a48306e1f9c
|
|
BLAKE2b-256 checksum How to use checksums |
1bfdf04845adf3085831496d8165112505ad2b3ead7fab1b0c36cd027729ee03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|