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ai-tools

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

audioclassfication

bed_main

BED: A Real-Time Object Detection System for Edge Devices

collector

Card_detect and show animation。这是一个基于全志D1的卡牌识别（感谢ncnn)

courseware-embedded-machine-learning

cplusplusthings

C++那些事

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

deeplearningsystem

Deep Learning System core principles introduction.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

easycv

An all-in-one toolkit for computer vision

edgeai-torchvision

Datasets, Transforms and Models specific to Computer Vision

edgelab

Seeed Studio EdgeLab is an open-source project focused on embedded AI.

edgelab-model-zoo

model zoo for edgelab

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

model_training_logging

ncnn

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

nnom

A higher-level Neural Network library for microcontrollers.

onnxmltools

ONNXMLTools enables conversion of models to ONNX

pythoncode1

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch_-yolov1

代码复现

repvgg

RepVGG: Making VGG-style ConvNets Great Again

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

sscma-micro

A cross-platform framework that deploys and applies SSCMA models to microcontrol devices