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
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Oct 24, 2024 - C++
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MegEngine
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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Here are 36 public repositories matching this topic...
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
python nlp machine-learning deep-neural-networks computer-vision deep-learning algorithms gitbook tensorflow functions machine-learning-algorithms mathematics pytorch deep-learning-algorithms deeplearning tensorflow2 megengine
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Sep 29, 2023 - Python
The official MegEngine implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer
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Nov 17, 2022 - Python
Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
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Nov 18, 2022 - Python
MegEngine Official Documentation
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Dec 4, 2024 - Python
Official implementation of the FST-Matching Model.
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Sep 5, 2022 - Python
An object detection codebase based on MegEngine.
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Dec 14, 2022 - Python
MegEngine implementation of Diffusion Models.
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Aug 8, 2022 - Python
MegBox is an easy-to-use, well-rounded and safe toolbox of MegEngine. Aim to imporving usage experience and speeding up develop process.
helper toolbox transformer convolutional-layers attention common-used-utils megengine reparameterization-trick
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Apr 9, 2023 - Python
Experimental Operator Library for MegEngine
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Jun 1, 2022 - Python
Created by Megvii
Latest release almost 2 years ago
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- MegEngine/MegEngine
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- github.com/topics/megengine