4 projects for "ios-webkit-debug-prox" with 2 filters applied:

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  • 1
    Kodezi Chronos

    Kodezi Chronos

    Kodezi Chronos is a debugging-first language model

    ...The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. Another component, Persistent Debug Memory, allows the system to learn patterns from past debugging sessions and apply that knowledge to future problems. The repository mainly contains research documentation, evaluation benchmarks, and experimental frameworks rather than the full proprietary model implementation.
    Downloads: 0 This Week
    Last Update:
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  • 2
    TorchCode

    TorchCode

    Practice implementing softmax, attention, GPT-2 and more

    ...The platform provides a collection of curated problems that cover fundamental topics such as activation functions, normalization layers, attention mechanisms, and full transformer architectures. It runs in a Jupyter-based environment, allowing users to write, test, and debug their code interactively while receiving immediate feedback. An automated judging system evaluates correctness, gradient flow, and numerical stability, helping users understand both functional and theoretical aspects of their implementations.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Adaptive Intelligence

    Adaptive Intelligence

    Adaptive Intelligence also known as "Artificial General Intelligence"

    Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills.
    Downloads: 1 This Week
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  • 4
    ELI5

    ELI5

    A library for debugging/inspecting machine learning classifiers

    ELI5 is a Python library designed to help developers interpret, debug, and explain the predictions of machine learning models. The project focuses on improving model transparency by providing tools that visualize feature importance and prediction reasoning. It supports several popular machine learning frameworks including scikit-learn, XGBoost, LightGBM, CatBoost, and Keras. The library allows users to inspect model weights, analyze decision trees, and compute permutation feature importance for black-box models. ...
    Downloads: 0 This Week
    Last Update:
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