Showing 4 open source projects for "custom-eclipse"

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    CodeCompanion

    CodeCompanion

    AI-powered coding, seamlessly in Neovim. Supports Anthropic, etc.

    Currently supports Anthropic, Copilot, Gemini, Ollama and OpenAI adapters.
    Downloads: 6 This Week
    Last Update:
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  • 2
    opencode.nvim

    opencode.nvim

    Integrate the opencode AI assistant with Neovim

    ...It allows users to send prompts that automatically include relevant editor context such as the current buffer, selected text, diagnostics, and visible content, making AI interactions far more precise and useful during development. The plugin supports a prompt library system, allowing developers to reuse predefined prompts or create custom ones tailored to their workflows. It also enables direct execution of AI-driven actions, such as code modifications or command execution, while giving users full control to review, accept, or reject changes through diff-based interfaces. The system integrates with an in-process Language Server Protocol implementation, enabling familiar features like hover explanations and code actions powered by AI.
    Downloads: 6 This Week
    Last Update:
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  • 3
    Neovim 99

    Neovim 99

    Neovim AI agent done right

    Neovim 99 is an experimental GitHub repository created by well-known developer and educator ThePrimeagen that explores what he describes as the “ideal AI workflow” for developers who want a streamlined, high-quality integration of AI tooling into real coding environments — particularly focused on tools like Neovim and agent-centric workflows. Rather than a polished end-product, this repo serves as a playground for testing, iterating, and documenting workflows that integrate AI agents...
    Downloads: 1 This Week
    Last Update:
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  • 4
    fairseq-lua

    fairseq-lua

    Facebook AI Research Sequence-to-Sequence Toolkit

    fairseq-lua is the original Lua/Torch7 version of Facebook AI Research’s sequence modeling toolkit, designed for neural machine translation (NMT) and sequence generation. It introduced early attention-based architectures and training pipelines that later evolved into the modern PyTorch-based fairseq. The framework implements sequence-to-sequence models with attention, beam search decoding, and distributed training, providing a research platform for exploring translation, summarization, and...
    Downloads: 0 This Week
    Last Update:
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