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  1. awesome-ai-explainability awesome-ai-explainability Public

    The definitive collection of the most influential research papers on making AI systems explainable and interpretable. Carefully curated to help engineers, researchers, and practitioners build trans…

    1

  2. Math_behind_ML Math_behind_ML Public

    The math inside PyTorch's engine — how linear algebra, calculus & optimization drive torch.autograd, torch.nn, and torch.optim. GHC 2025 talk materials.

    2

  3. NemoClaw NemoClaw Public

    Forked from NVIDIA/NemoClaw

    Run OpenClaw more securely inside NVIDIA OpenShell with managed inference

    JavaScript

  4. opik opik Public

    Forked from comet-ml/opik

    Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

    Python

  5. optuna optuna Public

    Forked from optuna/optuna

    A hyperparameter optimization framework

    Python

  6. pycaret pycaret Public

    Forked from pycaret/pycaret

    An open-source, low-code machine learning library in Python

    Jupyter Notebook