mlx
claudeFull ML lifecycle workbench — research papers, datasets, data prep, train (full supervised learning coverage), evaluate, explain, deploy, drift detection, LLM fine-tuning, MCP server builder, context engineering, and interactive ML courses. 11 agents, 16 skills, 3 CLI tools, Python LSP.
18 skills · 11 agents · 2 MCP servers · hooks · LSP
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