3 projects for "memory management" with 2 filters applied:

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  • 1
    Growth Lab

    Growth Lab

    An end-to-end growth tool that understands the product

    Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,...
    Downloads: 0 This Week
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  • 2
    Megatron-LM

    Megatron-LM

    Ongoing research training transformer models at scale

    Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and...
    Downloads: 0 This Week
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  • 3

    E-Reader

    Extreem Reader for Cosmological simulation data P-Gadet2 and ART codes

    Extreem Reader for Cosmological simulation data P-Gadet2 and ART codes.It conserves memory by using memory mapped files. Contains some basic analysis tools such a KD-Tree, Minimum Spanning Tree, and rendering module using PMViewer algorithm.
    Downloads: 0 This Week
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