chengyiming Goto Github PK

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根据词典为作文纠错，并进行一定的交互

animal_classification

attention-routing-capsules

breakhist-dataset-image-classification

BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.

breast-cancer-classification

Breast Cancer Classification using CNN and transfer learning

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

capsnet-traffic-sign-classifier

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule_network_pytorch

A PyTorch implementation of CapsNet based on Hinton's Dynamic Routing Between Capsules using PyTorch's Visdom and Ignite.

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

chengyiming.github.io

cim

📲cim(cross IM) 适用于开发者的分布式即时通讯系统

community

community1

convcaps

pytorch capsule network

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

covid-fact

A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans

ct-caps

Feature Extraction-Based Automated Framework For COVID-19 Disease Identification From Chest CT Scans Using Capsule Networks

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deepcaps

Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).

deepcaps-pytorch

PyTorch Implementation of "DeepCaps: Going Deeper with Capsule Networks" by Jathushan Rajasegaran et al.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deepseg

DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images

effective-java-3rd-edition-chinese-english-bilingual

Effective Java（第3版）各章节的中英文学习参考（已完成）

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

helloworld

just a very easy project

icnet-tensorflow

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

java-design-patterns

Design patterns implemented in Java

keras-octconv

Keras implementation of Octave Convolutions