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Achievement: YOLOAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor

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francescomrn/README.md

Hi, I'm Francesco 👋

I build and ship predictive models — for predictive maintenance and prognostics, where calibration and reliability under drift matter more than benchmark scores.

The work I'm doing on my own time is on LLM agents and evaluation: what makes a small model reliable, how you measure it, and how much of agent performance comes from the harness rather than the model. That's what hiveloom is — generate, run, and evolve agent harnesses so small, cheap models do repeatable, verifiable work.

Happy to talk to anyone working or interested in similar problems!

Links

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  1. cnn_facial_keypoint_detection cnn_facial_keypoint_detection Public

    PyTorch CNN that predicts facial keypoints, combined with Haar cascade face detection for a full image-to-keypoints pipeline.

    Python 1

  2. image_captioning image_captioning Public

    CNN-LSTM encoder-decoder in PyTorch that generates natural-language captions for images, trained on MS COCO.

    Jupyter Notebook 1 1

  3. hiveloom hiveloom Public

    Build durable agent harnesses so smaller models can do repeatable, verifiable work — a versioned folder with tools, guardrails, validators, and measured evidence from every run.

    Python 2 1

  4. exoplanet_hunting exoplanet_hunting Public

    Detect stars hosting exoplanets from Kepler flux time series: SVC baseline vs. 1D CNN in TensorFlow, plus GCP AI Platform and Kubeflow training pipelines.

    Jupyter Notebook