Shypd.aiThe largest open index of AI toolsTinyNeuralNetwork is an open-source deep learning model compression framework that offers features like neural architecture search, pruning, and quantization. It has been used to equip over 10 million IoT devices with AI capabilities.
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TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework developed by Alibaba. It provides a comprehensive suite of features for optimizing deep learning models, including neural architecture search, pruning (L1, L2, FPGM, ADMM, NetAdapt, Gradual, End2End), and quantization-aware training. The framework leverages PyTorch's QAT as its backend and enhances usability by automating operator fusion and computational graph quantization. It also supports model conversion from floating-point and quantized PyTorch models to TFLite for end-to-end deployment. TinyNeuralNetwork has been successfully deployed on various devices such as Tmall Genie, Haier TV, and Youku video, demonstrating its effectiveness in real-world IoT applications.
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