4aecd469a1
- Add Prometheus, Grafana, and Loki monitoring stack - Include pre-configured dashboards for ML metrics and logs - Add Podman container support with security policies - Implement ML runtime environments for multiple frameworks - Add containerized ML project templates (PyTorch, TensorFlow, etc.) - Include secure runner with isolation and resource limits - Add comprehensive log aggregation and alerting
37 lines
757 B
YAML
37 lines
757 B
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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