Kashyap-K/self-evolving-nn

🧬 Self-Evolving Neural Network — 4524d43d

Evolved locally with neuroevolution (genetic architecture search), then uploaded from this machine.

Model

• Architecture: gated MLP — top-3 features → layer 1, remaining features join every layer after
• Layers: 192(swish), 96(selu), 32(swish), 192(linear), 256(relu), 64(sigmoid)
• Params: 102,216
• Learning rate: 0.005 · Optimizer: rmsprop · Batch size: 16
• Top-3 feature gate: [4, 9, 16]
• Fitness: 331118.82

Evolution history

• Generations: 18
• Initial best fitness: 37948.7707
• Final best fitness: 240545.7623
• Improvement: +533.9%

Files

File	Description
evo_checkpoints/best_model.keras	Trained best model (Keras)
evo_checkpoints/best_genome.json	Best architecture genome
evo_checkpoints/evolution_history.json	Fitness across generations
self_evolving_model.py	Core evolution engine
evo_gui.py	Flask web dashboard
requirements.txt	Dependencies

How to run

pip install -r requirements.txt
# Continue evolving from this state
python3 self_evolving_model.py --continue --generations 50
# Or launch the web GUI
python3 evo_gui.py --port 5000

Scaling up (v2/v3 on GPU)

python3 self_evolving_model.py --continue --max-units 512 --max-layers 8 --train-epochs 20

See evo_v2_colab.ipynb for a ready-to-run Google Colab notebook.