Showing 6 open source projects for "matrix"

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    Context for your AI agents

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  • 1
    Synapse

    Synapse

    Matrix reference homeserver

    Matrix is an ambitious new ecosystem for open federated Instant Messaging and VoIP. Everything in Matrix happens in a room. Rooms are distributed and do not exist on any single server. Rooms can be located using convenience aliases like #matrix:matrix.org or #test:localhost:8448. Synapse is currently in rapid development, but as of version 0.5 we believe it is sufficiently stable to be run as an internet-facing service for real usage!
    Downloads: 5 This Week
    Last Update:
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  • 2
    eCxx

    eCxx

    A C++ library for AVR and NodeMCU

    NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    BlockSparse

    BlockSparse

    Efficient GPU kernels for block-sparse matrix multiplication

    The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. ...
    Downloads: 0 This Week
    Last Update:
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    Total Network Visibility for Network Engineers and IT Managers

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  • 5
    Python SNMP Manager and Agent Protocols and APIs for use with the Twisted Matrix networking platform.
    Downloads: 0 This Week
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  • 6
    SystemSpecifyer is used to develop and maintain complex, well structured, systems specifications, in normal language. Using the System Matrix double matrix relation building mechanism specs can be tested for completeness, correctness and consistency.
    Downloads: 0 This Week
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