Showing 4 open source projects for "deepseek"

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  • 1
    Ollama Copilot

    Ollama Copilot

    Proxy that allows you to use ollama as a copilot like Github copilot

    ...It acts as an intermediary server that exposes Ollama or other model providers through a Copilot-compatible interface, allowing developers to use local or self-hosted models for inline code completion. The project supports multiple providers such as Ollama, DeepSeek, and Mistral, enabling flexibility between local and remote inference depending on user needs. It integrates with editors like Neovim, VS Code, Zed, and Emacs by redirecting Copilot traffic through a configurable proxy layer. The system allows customization of parameters such as context size, token prediction limits, and prompt templates, which gives developers granular control over how completions are generated. ...
    Downloads: 4 This Week
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  • 2
    DualPipe

    DualPipe

    A bidirectional pipeline parallelism algorithm

    DualPipe is a bidirectional pipeline parallelism algorithm open-sourced by DeepSeek, introduced in their DeepSeek-V3 technical framework. The main goal of DualPipe is to maximize overlap between computation and communication phases during distributed training, thus reducing idle GPU time (i.e. “pipeline bubbles”) and improving cluster efficiency. Traditional pipeline parallelism methods (e.g. 1F1B or staggered pipelining) leave gaps because forward and backward phases can’t fully overlap with communication. ...
    Downloads: 0 This Week
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  • 3
    Tile Kernels

    Tile Kernels

    A kernel library written in tilelang

    Tile Kernels is a DeepSeek kernel library written with TileLang for high-performance AI and machine-learning workloads. It contains specialized kernels for areas such as mixture-of-experts routing, quantization, batched transpose operations, Engram gating, and Manifold HyperConnection components. The project includes both optimized kernel implementations and PyTorch reference versions for comparison and validation.
    Downloads: 0 This Week
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  • 4
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark.
    Downloads: 0 This Week
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