Pinned

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

   SALAD benchmark

   Python 49 10

2. InternLM/lmdeploy InternLM/lmdeploy Public

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

   Python 2.5k 227

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

   OpenMMLab course index and stuff

   Jupyter Notebook 933 119

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 6.6k 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.