Showing 5 open source projects for "tests"

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  • 1
    Laya-MLX

    Laya-MLX

    Native MLX runtime for Laya typed decision models

    ...The project reports short-decision latency in the single-digit to low-teens millisecond range on an M3 Max, depending on the checkpoint. It also includes routing utilities, demos, validation tests, benchmarks, and a Python API.
    Downloads: 7 This Week
    Last Update:
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  • 2
    Fara-7B

    Fara-7B

    An Efficient Agentic Model for Computer Use

    ...It provides stakeholders with a way to benchmark and evaluate models across dimensions such as fairness, robustness, security, privacy, and ethical considerations. Rather than relying on ad-hoc or manual review processes, FARA enables organizations to profile AI behavior using standardized tests, metrics, and reporting templates, making evaluations reproducible and comparable over time. The framework supports plugin-based modules that can be tailored to industry-specific concerns or regulatory requirements, helping compliance teams, auditors, and engineers collaborate on shared assessment goals.
    Downloads: 0 This Week
    Last Update:
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  • 3
    GLM-4.5

    GLM-4.5

    GLM-4.5: Open-source LLM for intelligent agents by Z.ai

    GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for...
    5.0 out of 5 stars 1 Review
    Downloads: 17 This Week
    Last Update:
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  • 4
    NVIDIA Earth2Studio

    NVIDIA Earth2Studio

    Open-source deep-learning framework

    ...Users can extend Earth2Studio with optional model packs, advanced data interfaces, statistical operators, and backend integrations that support flexible workflows from simple tests to large-scale operational inference.
    Downloads: 0 This Week
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  • 5
    InfoGAN

    InfoGAN

    Code for reproducing key results in the paper

    ...That extra incentive encourages the generator to structure its latent space in a way where certain latent variables control meaningful, distinct factors (e.g. rotation, width, stroke thickness) in the output images. The repository includes code for experiments (e.g. on MNIST), launcher scripts, and some tests. It depends on a development version of TensorFlow (the code expects features not in older stable releases), and also uses other libraries like prettytensor and progressbar.
    Downloads: 0 This Week
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