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tensorboard

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Runtime provenance for AI and scientific workflows—capture, enrich, and query workflow data via observability adapters and code annotation across edge, cloud, and HPC.

  • Updated Aug 12, 2026
  • Python

Turns a directory of ML training runs into a ranked, significance tested comparison. Permutation tests with FDR control, two gate regression flagging, and a calibration suite that measures its own error rate: 4.53% type I against a nominal 5%.

  • Updated Aug 5, 2026
  • Python

A research repository for how to improve openai-whisper speech to text models for English and Swahili speakers with speech impairments

  • Updated Aug 10, 2026
  • Jupyter Notebook

End-to-end reinforcement learning pipeline for algorithmic trading & portfolio management. Train PPO/A2C/SAC agents, backtest with realistic market frictions, and compare against passive benchmarks — fully reproducible with Docker & CI.

  • Updated Jul 27, 2026
  • Python

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