- China
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AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓,同时包含工作和科研过程中的新想法、新问题、新资源与新项目
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OpenPathoFoundation Public
收集和梳理病理AI大模型相关
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x.infer Public
Forked from XC0R/x.inferFramework agnostic computer vision inference.
Jupyter Notebook Other UpdatedNov 5, 2024 -
315386775.github.io Public
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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pandora Public
Forked from zhile-io/pandora潘多拉,一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT client that lets you breathe freely.
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CV_Goodidea Public
We're IDEA Public StoreHouse. Please keep the ideas coming.
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YOLOv5-Lite Public
Forked from ppogg/YOLOv5-Lite🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input siz…
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gluon-cv Public
Forked from dmlc/gluon-cvGluon CV Toolkit
Python Apache License 2.0 UpdatedFeb 24, 2022 -
pytorch-handbook Public
Forked from zergtant/pytorch-handbookpytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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Whole-Image-Slides-Unsupervised-Categorization Public
Forked from mostafaibrahim17/Whole-Image-Slides-Unsupervised-CategorizationJupyter Notebook UpdatedNov 10, 2021 -
Facial-Similarity-with-Siamese-Networks-in-Pytorch Public
Forked from harveyslash/Facial-Similarity-with-Siamese-Networks-in-PytorchImplementing Siamese networks with a contrastive loss for similarity learning
Jupyter Notebook MIT License UpdatedJul 16, 2020 -
VideoRecognitionTracking Public
Real time object or face detection recognition and tracking in video. The Full end-to-end project.
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Awesome-MXNet Public
Forked from chinakook/Awesome-MXNetA curated list of MXNet examples, tutorials and blogs.
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handong1587.github.io Public
Forked from handong1587/handong1587.github.ioDeep Learning and Network-Compression
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FCN_train Public
The code includes all the file that you need in the training stage for FCN
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Deep-Learning-for-Medical-Applications Public
Forked from albarqouni/Deep-Learning-for-Medical-ApplicationsDeep Learning Papers on Medical Image Analysis