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AnnSun's Projects

msnhnet icon msnhnet

A mini pytorch inference framework which inspired from darknet.

nnie icon nnie

重构海思sample中的NNIE模块

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch_classification icon pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

r3det_tensorflow icon r3det_tensorflow

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

refinedet icon refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

resnet-matconvnet icon resnet-matconvnet

Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet

retinanet-pytorch icon retinanet-pytorch

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

stockholm icon stockholm

一个股票数据(沪深)爬虫和选股策略测试框架

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

tensorflow-serving-yolov3 icon tensorflow-serving-yolov3

主要对原tensorflow版本算法进行了网络修改,显示调整,数据处理等细节优化,详细说明了 从本地训练到serving端部署yolov3的整个流程,训练了Visdrone2019无人机数据集, 准确率 较高, 训练工业检测数据集(非80类中的一类),mAP为97.51,FPS在1080上测试15-20帧!

tensorflow-vgg16-train-and-test icon tensorflow-vgg16-train-and-test

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tf2-keras-yolo3 icon tf2-keras-yolo3

A tf.keras implementation of YOLOv3 with TensorFlow 2.0.This is a fork and modification of qqwweee/keras-yolo3, in order to make it support TensorFlow 2.0.

tf20 icon tf20

https://github.com/YunYang1994/TensorFlow2.0-Examples

train_arch icon train_arch

vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

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