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wangruohui/README.md

Hi there 👋



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  1. OpenSafetyLab/SALAD-BENCH OpenSafetyLab/SALAD-BENCH Public

    【ACL 2024】 SALAD benchmark & MD-Judge

    Python 109 11

  2. InternLM/lmdeploy InternLM/lmdeploy Public

    LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

    Python 4.8k 438

  3. open-mmlab/OpenMMLabCourse open-mmlab/OpenMMLabCourse Public

    OpenMMLab course index and stuff

    Jupyter Notebook 1.1k 129

  4. open-mmlab/mmagic open-mmlab/mmagic Public

    OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

    Jupyter Notebook 7k 1.1k

  5. distributed-dpmm distributed-dpmm Public

    Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data

    Julia 9 1

  6. Intel for display, Nvidia for computing Intel for display, Nvidia for computing
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    # Intel for display, NVIDIA for computing
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    This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 / 20.04 desktop.
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    I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti.