a1exmah0ne/othello-ai-model
By a1exmah0ne · ↓ 0 · ♥ 0 · Updated 2025-11-07
What's in this repo
This page lists the files in a1exmah0ne/othello-ai-model, including othello_model.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2025-11-07
ONNX files
| File | Size | Download |
|---|---|---|
| othello_model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Othello AI Model (Auto-Updated)
This model is automatically improved by playing games on the Othello website!
Model Details
- Format: ONNX (Open Neural Network Exchange)
- Architecture: ResNet with 19 residual blocks, 256 channels
- Input: 3x8x8 tensor (empty, black, white squares)
- Outputs:
- Policy: 64 move logits
- Value: Position evaluation (-1 to +1)
- Size: ~96 KB (optimized for web)
How It Works
- Players play games on the Othello website
- Game data is collected
- Model trains on this data weekly
- Improved model is automatically uploaded here
- Website downloads new model on next refresh
Updates
- Last updated: 2025-11-07 14:56:59 UTC
- Training samples: Generated from collected gameplay
- Improvement: Model learns from real games!
Usage
import onnxruntime as ort
import numpy as np
session = ort.InferenceSession('othello_model.onnx')
board = np.zeros((1, 3, 8, 8), dtype=np.float32)
outputs = session.run(None, {'input': board})
policy = outputs[0] # Move logits
value = outputs[1] # Position evaluation
Auto-updated by Othello Continuous Learning Pipeline
Files (3)
.gitattributes
README.md
othello_model.onnx
ONNX
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