Autonomous data science workflows with 10-50× GPU speedup

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A production-ready system for autonomous data science leveraging NVIDIA CUDA and RAPIDS on Google Colab's free GPUs. Run complete ML pipelines from EDA to deployment with zero API costs using local LLM orchestration.

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Features

Autonomous Agents EDA Agent - Auto data profiling Modeling Agent - Multi-algorithm training Viz Agent - Smart visualizations Report Agent - Full documentation	GPU Acceleration 10-50× faster than CPU Free Tesla T4/V100 on Colab RAPIDS cuDF & cuML XGBoost GPU support
Local LLM Orchestrator Zero API costs Llama 2 / Mistral / Phi Intelligent workflow planning Context-aware decisions	Hybrid Architecture Local Streamlit UI Cloud GPU execution Seamless data transfer Flexible deployment

Tech Stack

Category	Technologies
GPU Computing
ML Frameworks
LLM Stack
Data Processing
Visualization
UI/Platform

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Benchmarks

Operation	CPU Time	GPU Time	Speedup
Load 10M rows	45s	2.3s	19.6×
Preprocessing	120s	6.5s	18.5×
Correlation	35s	1.2s	29.2×
XGBoost	180s	12s	15.0×
Full Pipeline	380s	22s	17.3×

Tesla T4 GPU vs Intel i7-10700K CPU

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Built with ❤️ for the data science community