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model-orchestration

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A robust, modular, and production-ready platform for solar power system data analysis, machine learning, and prediction. Built with ZenML, Streamlit, MLflow, and a rich Python data science stack, this project enables end-to-end workflows from data ingestion and EDA to model training, deployment, inference and experiment tracking

  • Updated Nov 10, 2025
  • Jupyter Notebook
mata

🦾 MATA | Model-agnostic computer vision framework — detect, track, segment, classify, embed & more. One API for HuggingFace, ONNX, and TorchScript models. Built-in ByteTrack/BotSort tracking, ReID, VLM agent tool-calling, barcode decoding, and OCR evaluation. Zero-shot ready. 🚀

  • Updated Oct 4, 2026
  • Python

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