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  1. Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data

    Julia 9 1

  2. 1
    # 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.
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    In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can. 
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    ## Table of Contents
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    - [Install NVIDIA Graphics Driver via apt-get](#install-nvidia-graphics-driver-via-apt-get)
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    - [Install NVIDIA Graphics Driver via runfile](#install-nvidia-graphics-driver-via-runfile)
  4. Forked from shoutOutYangJie/Morph-UGATIT

    a morph transfer UGATIT for image translation.

    Python 1

  5. Forked from znxlwm/UGATIT-pytorch

    Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

    Python

  6. Forked from open-mmlab/mmaction2

    OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

    Python 1

98 contributions in the last year

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Contributed to open-mmlab/mmediting, open-mmlab/mmcv, open-mmlab/mmclassification and 5 other repositories

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