This code is from https://www.cnblogs.com/shouhuxianjian/p/10567201.html !

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

PyTorch ,ONNX and TensorRT implementation of YOLOv4

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

PyTorch to Keras model convertor

A Keras implementation of YOLOv3 (Tensorflow backend)

PyTorch to Keras model convertor

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

【干货】史上最全的PyTorch学习资源汇总

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Minimal PyTorch implementation of YOLOv3

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

Rapid satellite imagery object detection

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

A Keras implementation of MobileNetV2.

Convolutional Neural Networks

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

使用Verilog实现的CNN模块，可以方便的在FPGA项目中使用

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

中文版 Parallel Programming for FPGAs

Vitis In-Depth Tutorials

A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard

This project is to implement YOLO v3 on Xilinx FPGA with DPU

Using HLS to realize CNN based on ZYNQ

Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.