Showing 6 open source projects for "gpu"

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  • 1
    LocalAI

    LocalAI

    Self-hosted, community-driven, local OpenAI compatible API

    ...Does not require GPU.
    Downloads: 19 This Week
    Last Update:
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  • 2
    Beta9

    Beta9

    Run serverless GPU workloads with fast cold starts on bare-metal

    beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Whishper

    Whishper

    Transcribe any audio to text, translate and edit subtitles 100% locall

    Open-source, local-first audio transcription and subtitling suite with a simple web UI. Thanks to open-source technologies, Whishper can run 100% offline. Your data never leaves your computer. Whishper allows you to translate your transcriptions to and from more than 60 languages thanks to Argos Translate and LibreTranslate. Download the transcriptions in many formats (json, txt, vtt, srt). Easily edit your subtitles right in the Web-UI.
    Downloads: 16 This Week
    Last Update:
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  • 4
    KubeAI

    KubeAI

    Private Open AI on Kubernetes

    Get inferencing running on Kubernetes: LLMs, Embeddings, Speech-to-Text. KubeAI serves an OpenAI compatible HTTP API. Admins can configure ML models by using the Model Kubernetes Custom Resources. KubeAI can be thought of as a Model Operator (See Operator Pattern) that manages vLLM and Ollama servers.
    Downloads: 0 This Week
    Last Update:
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    Dominate AI Search Results

    Generative Al is shaping brand discovery. AthenaHQ ensures your brand leads the conversation.

    AthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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  • 5
    LLaMA.go

    LLaMA.go

    llama.go is like llama.cpp in pure Golang

    ...The code of the project is based on the legendary ggml.cpp framework of Georgi Gerganov written in C++ with the same attitude to performance and elegance. Both models store FP32 weights, so you'll needs at least 32Gb of RAM (not VRAM or GPU RAM) for LLaMA-7B. Double to 64Gb for LLaMA-13B.
    Downloads: 0 This Week
    Last Update:
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  • 6
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    ...However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
    Last Update:
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