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  1. Debugger agent skill using DAP (skills.sh)
    2 points 0
  2. Show HN: ML-Ralph – An autonomous agent loop for ML experimentation (github.com)

    We adapted RALPH for ML workflows. It runs experiments autonomously, forming hypotheses, training models, evaluating results, iterating on evidence. W&B integration for long-running jobs. Full audit trail. Tested on…

    2 points 0
  3. MCP for Cisco Meraki API (github.com)
    1 points 0
  4. Show HN: Vectory – A collection of tools to track and compare embedding versions (github.com)
    2 points 0
  5. Analyzing Embeddings with Vectory (pento.ai)
    1 points 0
  6. Show HN: Vectory, a tool for visually tracking and comparing embeddings (github.com)
    5 points 0
  7. How and why to create custom handlers for PyTorch’s TorchServe (pento.ai)
    2 points 0
  8. Our top computer vision learnings from 2021 (pento.ai)
    2 points 0
  9. Blueprint (blueprint.bryanjohnson.co)
    2 points 0
  10. Taking advantage of unlabeled data and image embeddings (pento.ai)
    1 points 0
  11. How to create custom TorchServe handlers (pento.ai)
    1 points 0
  12. Taking advantage of unlabeled data and image embeddings (pento.ai)
    4 points 0
  13. How to create custom handlers for TorchServe (pento.ai)
    1 points 0
  14. Structuring your Python machine learning projects: an opinionated review (2021) (pento.ai)
    3 points 0
  15. How to create custom TorchServe handlers (pento.ai)
    1 points 0
  16. How to create custom handlers for TorchServe (pento.ai)
    1 points 0
  17. How and why to create custom handlers for PyTorch’s TorchServe (pento.ai)
    3 points 0
  18. Terran's face recognition meets Streamlit Components (pento.ai)
    2 points 0
  19. Terran's face recognition meets Streamlit Components (pento.ai)
    4 points 0
  20. Show HN: Streamlit component for face timeline generation from videos (github.com)
    2 points 2
  21. Terran: A Human Perception Library (pento.ai)
    1 points 0
  22. Scaling Computer Vision Models with Dataflow (pento.ai)
    2 points 0
  23. Scaling Computer Vision Models with Dataflow (pento.ai)
    2 points 0
  24. Scaling Computer Vision Models with Dataflow (pento.ai)
    2 points 0
  25. A complete guide to computer vision (tryolabs.com)
    3 points 0