Pinned Repositories
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2).
catdog
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dl-colab-notebooks
Try out deep learning models online on Google Colab
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
LiYongSheng-max's Repositories
LiYongSheng-max/dl-colab-notebooks
Try out deep learning models online on Google Colab
LiYongSheng-max/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
LiYongSheng-max/TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
LiYongSheng-max/yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
LiYongSheng-max/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
LiYongSheng-max/Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2).
LiYongSheng-max/catdog
LiYongSheng-max/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
LiYongSheng-max/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
LiYongSheng-max/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
LiYongSheng-max/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
LiYongSheng-max/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
LiYongSheng-max/Efficient-3DCNNs
PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.
LiYongSheng-max/model
LiYongSheng-max/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
LiYongSheng-max/pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
LiYongSheng-max/SegmenTron
Support Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
LiYongSheng-max/springboot
LiYongSheng-max/springcloud
Talk is cheap. Show me the code （屁话少说，放码过来） springcloud配置仓库 菜鸟的学习之路
LiYongSheng-max/springcloudconfigs
Talk is cheap. Show me the code springcloud配置仓库
LiYongSheng-max/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。
LiYongSheng-max/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
LiYongSheng-max/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials