MegEngine topic

MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.

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MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架,具备训练推理一体、全平台高效支持和动静结合的训练能力 3 大核心优势,可帮助企业与开发者大幅节省产品从实验室原型到工业部署的流程,真正实现小时级的转化能力。

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资源

List MegEngine repositories

mgeconvert

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MegEngine到其他框架的转换器

OMNet

35
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4
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OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration, ICCV 2021, MegEngine implementation.

awesome-megengine

15
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2
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Awesome Resources about MegEngine

basedet

28
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0
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An object detection codebase based on MegEngine.

FINet

23
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1
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This is the official MegEngine implementation of FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration, AAAI 2022

megcup-feedforward

33
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1
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RAW-based blind denoising, 3rd place in MegCup 2022 (Team Feedforward)

RecurrentMobileNet

29
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2
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Light parameters raw image denoising, 2nd place in MegCup 2022

MegEngine_CU11

17
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MegEngine build with cu11x