MNN Alternatives

Similar projects and alternatives to MNN

• tensorflow

  - 170,666 10.0 C++ MNN VS tensorflow

  An Open Source Machine Learning Framework for Everyone

  

• ML-examples

  - 346 3.0 C++ MNN VS ML-examples

  Arm Machine Learning tutorials and examples (by ARM-software)

  

• Sonar

  www.sonarsource.com

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  Write Clean C++ Code. Always.. Sonar helps you commit clean C++ code every time. With over 550 unique rules to find C++ bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  

• oneflow

  - 4,235 9.6 C++ MNN VS oneflow

  OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  

• OpenMLDB

  - 1,238 9.8 C++ MNN VS OpenMLDB

  OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

  

• serving

  - 5,745 9.0 C++ MNN VS serving

  A flexible, high-performance serving system for machine learning models

  

• signatory

  - 210 0.0 C++ MNN VS signatory

  Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

• vulkan_best_practice_for_mobile_developers

  - 526 0.8 C++ MNN VS vulkan_best_practice_for_mobile_developers

  Vulkan best practice for mobile developers

  

• InfluxDB

  www.influxdata.com

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  Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  

• ncnn

  1 16,304 9.7 C++ MNN VS ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  

• mace

  1 4,730 10.0 C++ MNN VS mace

  MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

  

• TNN

  1 3,816 10.0 C++ MNN VS TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts

  

• ecole

  - 258 3.9 C++ MNN VS ecole

  Extensible Combinatorial Optimization Learning Environments