7880ea8d79
Organize podman/ directory into logical subdirectories: New structure: - docs/ - ML_TOOLS_GUIDE.md, jupyter_workflow.md - configs/ - environment*.yml, security_policy.json - containers/ - *.dockerfile, *.podfile - scripts/ - *.sh, *.py (secure_runner, cli_integration, etc.) - jupyter/ - jupyter_cookie_secret (flattened from jupyter_runtime/runtime/) - workspace/ - Example projects (cleaned of temp files) Cleaned workspace: - Removed .DS_Store, mlflow.db, cache/ - Removed duplicate cli_integration.py Removed unnecessary nesting: - Flattened jupyter_runtime/runtime/ to just jupyter/ Improves maintainability by grouping files by purpose and eliminating root directory clutter.
48 lines
1 KiB
YAML
48 lines
1 KiB
YAML
---
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# Fast Conda Environment for ML
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# Optimized with mamba for data scientists
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name: ml_env
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channels:
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- pytorch
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- conda-forge
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- defaults
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dependencies:
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# Python
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- python=3.10
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# ML Frameworks (conda-optimized)
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- pytorch>=1.9.0
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- torchvision>=0.10.0
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- numpy>=1.21.0
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- pandas>=1.3.0
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- scikit-learn>=1.0.0
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- xgboost>=1.5.0
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# Data Science Tools
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- matplotlib>=3.5.0
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- seaborn>=0.11.0
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- jupyter>=1.0.0
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- notebook>=6.4.0
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- ipykernel>=6.0.0
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# Development Tools
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- pip
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- setuptools
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- wheel
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# GPU Support (if available)
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- cudatoolkit=11.3
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- pytorch-cuda>=11.3
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# pip fallback packages (if conda doesn't have them)
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- pip:
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- tensorflow>=2.8.0
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- statsmodels>=0.13.0
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- plotly>=5.0.0
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- dash>=2.0.0
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# ML Experiment Tracking
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- mlflow>=2.0.0
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- wandb>=0.13.0
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# Dashboard & Visualization
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- streamlit>=1.20.0
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- panel>=1.0.0
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- bokeh>=3.0.0
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# Data Science Tools
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- dvc>=3.0.0
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- optuna>=3.0.0
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- hyperopt>=0.2.0
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