Shypd.aiThe largest open index of AI toolsMicronet is an open-source library for AI model compression and deployment. It offers quantization, pruning, and batch normalization fusion to optimize models for efficient hardware deployment.
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Micronet is an open-source library designed for AI model compression and efficient deployment on various hardware platforms. It provides a comprehensive suite of techniques including quantization-aware training (QAT) and post-training quantization (PTQ) for both high-bit and low-bit scenarios, as well as pruning methods like normal, regular, and group convolutional channel pruning. The library also supports batch-normalization fusion for quantization, enhancing model efficiency. For deployment, Micronet integrates with TensorRT, enabling optimized inference in fp32, fp16, and int8 formats with features like op-adapt and dynamic shape support. This makes it an invaluable tool for developers looking to reduce model size and accelerate inference speed.
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