calmiLovesAI/TensorFlow2.0_SSD

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82
Rank 396,546 (Top 8 %)
Language
Python
License
MIT License
Created about 5 years ago
Updated about 3 years ago

calmiLovesAI/TensorFlow2.0_SSD

calmiLovesAI

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A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

Basic_CNNs_TensorFlow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

TensorFlow2.0_ResNet

A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

YOLOv3_TensorFlow2

基于TensorFlow2.x实现的YOLOv3，支持在自定义数据集上训练，支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).

TensorFlow2.0_Image_Classification

A TensorFlow_2.0 implementation of AlexNet and VGGNet.

MobileNetV3_TensorFlow2

A tensorflow2 implementation of MobileNet-V3.

EfficientNet_TensorFlow2

A tensorflow2 implementation of EfficientNet.

TensorFlow2.0_InceptionV3

A TensorFlow_2.0 implementation of InceptionV3.

CenterNet_TensorFlow2

A tensorflow2.x implementation of CenterNet.

ResNeXt_TensorFlow2

A tensorflow2 implementation of ResNeXt(ResNeXt50, ResNeXt101).

InceptionV4_TensorFlow2

A tensorflow2 implementation of Inception_V4, Inception_ResNet_V1 and Inception_ResNet_V2.

HRNet_Pose_Estimation_TensorFlow2

A tensorflow2 implementation of HRNet for human pose estimation.

EfficientDet_TensorFlow2

A tensorflow2.x implementation of EfﬁcientDet: Scalable and Efﬁcient Object Detection.

ComputerVision.pytorch

计算机视觉

YOLOv4_PyTorch

A PyTorch implementation of YOLOv4.

CRNN_TensorFlow2

A tensorflow2 implementation of CRNN(Convolutional Recurrent Neural Network).

DenseNet_TensorFlow2

A tensorflow2 implementation of DenseNet (including DenseNet121, DenseNet169, DenseNet201, DenseNet269).

DeepLearning.pytorch

深度学习算法

PyTorch_Object_Detection

SkeNetch is a deep learning tool based on PyTorch.

My_Leetcode_Solutions

LeetCode solutions in Python, JavaScript and so on.

Segmentation.pytorch