Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fast and with more accuracy.

使用Unet网络作为生成器进行细胞分割的GAN网络

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

Paper and implementation of UNet-related model.

自己撸的leetcode代码

Chinese version of GPT2 training code, using BERT tokenizer.