mirror of
https://github.com/jung-geun/PSO.git
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jung-geun
813433000a
Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery. Constraint: Preserve one-shot official-test sealing and auditable research artifacts Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local Confidence: high Scope-risk: broad Not-tested: Production CUDA run on pieroot-server
37 lines
413 B
Plaintext
37 lines
413 B
Plaintext
*.pyc
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__pycache__/
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*.py[cod]
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*$py.class
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.ipynb_checkpoints/
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.vscode/settings.json
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# pypi
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dist/
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build/
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pso2keras.egg-info/
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# 테스트용 파일
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test.ipynb
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test.py
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log2plt.ipynb
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# 결과 저장용 디렉토리
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result/
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logs/
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# 논문 관련 파일
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*.pdf
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*.pptx
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관련 논문/
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발표 자료/
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.vscode/
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metacode/
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# uv / venv
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.venv/
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.uv/
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# Local research execution state and large downloaded datasets
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.omc/
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runs/ |