jessechai's repositories
3EMCP-with-TCNs
Temporal Convolutional Networks for the tertiary eye movement classification problem
DeeplabV3-tf2.0
This project implements the SOTA image segmentation algorithm deeplab V3+ with tensorflow 2.0
UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
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
Attention_2D_Unet
A customized 2D U-net implemented using attention module to emphasize on important channel and spatial information
ICT-FaceKit
ICT's Vision and Graphics Lab's morphable face model and toolkit
yolov4-tiny-keras
这是一个YoloV4-tiny-keras的源码，可以用于训练自己的模型。
yolov4-keras
这是一个YoloV4-keras的源码，可以用于训练自己的模型。
Iris_Landmarks_PyTorch
Iris landmarks localization
torchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision
DeepLabV3-Plus
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
tensorflow-deeplab-v3-plus
DeepLabv3+ built in TensorFlow
SegmenTron
Support PointRend, 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)
Keras-YOLOv4
supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。
keras_unet_plus_plus
keras implementation of unet plus plus
python-api-tesing
python中文库-python人工智能大数据自动化接口测试开发。 书籍下载及python库汇总https://china-testing.github.io/
unet_3plus
Keras Implementation of U-Net 3+(UNet+++)
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
models
Models and examples built with TensorFlow
shareOI
算法竞赛课件分享
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
interview
2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理
facemesh.pytorch
This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
PupilCenterEstimation
This repo contains implementation of CNN based regression network for Pupil Center Estimation in smartphones
UNet-family
Paper and implementation of UNet-related model.