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Introduction

AndesAIRE(TM) Neural Network Software Development Kit (hereafter NN SDK) is a collection of software tools for facilitating the execution of pretrained neural network (NN) models on Andes development platforms.

Model Zoo for AndesAIRE NN SDK

This repository provides a collection of widely used neural-network models and the resources required by the NNPilot(R) submodule in AndesAIRE NN SDK for quantizing FP32 models.

Each model entry includes the deployment workflow using AndesAIRE NN SDK, covering data preparation, calibration, evaluation, and the associated evaluation methods.

Each model directory also stores the generated quantized TFL model, the corresponding test inputs, and the resulting test metrics generated from either the TFL model or the fake-quantized model in PyTorch format, enabling rapid reproduction of the subsequent hardware-deployment workflow.

Model Information

Network Architecture Task Network
CNN Image Classification MobileNetV1
MobileNetV2
ResNet-8
ResNet-50
ShuffleNet-v2
SqueezeNet-v1_1
EfficientNet-Lite0
Inception-v2
MobileNetV3-Large
Object Detection YOLOv1-tiny
YOLOv2-tiny
MobileNetV1-SSD
Keyword Spotting BC-ResNet-8
DS-CNN-L
Visual Wake Words MCUNet-VWW2
Speech Recogntion Tiny-Wav2letter
Face Detection BlazeFace
RetinaFace
Face Recognitionn GhostFaceNet
RNN Noise Suppresion RNNoise
DeepFilterNet
DTLN
Transformer Question Answering TinyBERT-SQuADv2
Causal Language Modeling TinyLLama2-110M
Image Classification MobileViT-Small
Swin-Transformer

Installation and Usage

Installing AndesAIRE NN SDK

Contact your Andes representative to obtain access to the AndesAIRE NN SDK toolkit.

Installing Model Zoo

Clone this repository to the desired path following the instructions in the AndesAIRE NNPilot User Manual (UM267).pdf.

Running Example Model

Prepare the dataset according to the instructions in each model directory's README. For running the quantization workflow of a selected model, see the AndesAIRE NN SDK Starter Manual (UM266).pdf.

Team

AndesAIRE NN SDK Model Zoo is a project maintained by Andes Technology Corporation, Inc.

License

See the LICENSE file for details.

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