| # 🧬 Self-Evolving Neural Network — 4524d43d |
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| Evolved locally with neuroevolution (genetic architecture search), then uploaded from this machine. |
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| ## Model |
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| - **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 |
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| ## Evolution history |
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| - **Generations**: 18 |
| - **Initial best fitness**: 37948.7707 |
| - **Final best fitness**: 240545.7623 |
| - **Improvement**: +533.9% |
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| ## Files |
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| | 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 | |
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| ## How to run |
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| ```bash |
| 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 |
| ``` |
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| ## Scaling up (v2/v3 on GPU) |
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| ```bash |
| 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. |
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