MNN
ML-examples
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| MNN | ML-examples | |
|---|---|---|
| 3 | 2 | |
| 8,261 | 400 | |
| 0.9% | 1.0% | |
| 8.1 | 5.0 | |
| 8 days ago | 8 months ago | |
| C++ | C++ | |
| - | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MNN
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[D][R] Deploying deep models on memory constrained devices
However, I am looking on this subject through the problem of training/finetuning deep models on the edge devices, being increasingly available thing to do. Looking at tflite, alibaba's MNN, mit-han-lab's tinyengine etc..
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What’s New in TensorFlow 2.10?
There are a ton of mobile deployment options that support PyTorch+TF models. It's hard to argue TFLite is the best.
ML-examples
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[D] Run Pytorch model inference on Microcontroller
CMSIS-NN. ARM centric. Examples. They also have an example for a pytorch to tflite converter via onnx
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
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. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
serving - A flexible, high-performance serving system for machine learning models
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
ecole - Extensible Combinatorial Optimization Learning Environments
mace - MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
signatory - Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit