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3d-brain-segmentation

This is a repository containing code to Paper 3D Dense-Unet for MRI brain tissue segmentation (that hopefully will be) published on TSP 2018 conference.

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

deepid

tensorflow + python3实现，目标是实现DeepID2+

deeplab_v3

pytorch deeplab_v3+

deeplearningforclassification

Using RNN+LSTM to classify text

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

keras-frcnn

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

prml

PRML algorithms implemented in Python

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

sampleyunpan

计算机网络编程实验——Python实现的简易云盘

senet

Squeeze-and-Excitation Networks

snake--active-contour-models

Research & Development of paper "Snake: Active contour models" which is used to identify images using energy functions

tensorflow-deeplab-v3

DeepLabv3 built in TensorFlow

the-chat-room

Python 版的多人聊天室, 图形界面版

unet-seg

zero