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YangBai1109
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Datasets, Transforms and Models specific to Computer Vision
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Pytorch implementation of convolutional neural network visualization techniques
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
CNN-RNN中文文本分类，基于TensorFlow
A collection of loss functions for medical image segmentation
Semantic Segmentation Architectures Implemented in PyTorch
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Add a progress meter to your loops in a second
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
My own leetcode solutions by python
Implementation of Convolutional LSTM in PyTorch.
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Read, modify and write DICOM files with python code
Generic U-Net Tensorflow implementation for image segmentation
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch for Semantic Segmentation
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Retina blood vessel segmentation with a convolutional neural network
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
