chenqianben

Automatic-MRI-Degeneration-Detection

Regarding the time-consuming analysis of data and opportunity offered with the deep learning approach, the objective of this project is to develop an automated-analysis program of MRI images based on sheep image database acquired during manually-preliminary study. In particular, the developed methods will contribute to the segmentation of the disc within the database.

dfn

Dual-Contrastive-Learning

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

GEC

Grammer Error Correction Master Study

Get-started-with-Pytorch

This aims to help you get started to build the Deep Learning models with Pytorch

Image-Denoising-State-of-the-art

ImageNet-Models-with-Pytorch

This aims to help the author consult the newest Image Network Models and get a better understanding of the Deep Learning

Machine-Learning-Models

This project is reference for various Machine Learning models

Reliable-Search-on-Syntax-for-Aspect-Level-Sentiment-Classification

Speckle-Denoise

Deep Learning Approaches on Medical Image Denoising

chenqianben/Speckle-Denoise

Deep Learning Approaches on Medical Image Denoising

chenqianben/Automatic-MRI-Degeneration-Detection

Regarding the time-consuming analysis of data and opportunity offered with the deep learning approach, the objective of this project is to develop an automated-analysis program of MRI images based on sheep image database acquired during manually-preliminary study. In particular, the developed methods will contribute to the segmentation of the disc within the database.

chenqianben/Reliable-Search-on-Syntax-for-Aspect-Level-Sentiment-Classification

chenqianben/GEC

Grammer Error Correction Master Study

chenqianben/ImageNet-Models-with-Pytorch

This aims to help the author consult the newest Image Network Models and get a better understanding of the Deep Learning

chenqianben/Machine-Learning-Models

This project is reference for various Machine Learning models

chenqianben/dfn

chenqianben/Dual-Contrastive-Learning

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

chenqianben/Get-started-with-Pytorch

This aims to help you get started to build the Deep Learning models with Pytorch

chenqianben/Image-Denoising-State-of-the-art

chenqianben/kernel-prediction-networks-PyTorch

Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch

chenqianben/PencilDrawing

Implementation of "Combining Sketch and Tone for Pencil Drawing Production-Cewu Lu, Li Xu, Jiaya Jia".

chenqianben/personal_recommendation

个性化推荐代码--初学者

chenqianben/pytorch-nlp-notebooks

Learn how to use PyTorch to solve some common NLP problems with deep learning.

chenqianben/RepWalk

Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020

chenqianben/RNTN

My implementation of Recursive Neural Tensor Network

chenqianben/sentiment_dataset

chenqianben/tp_rnn_public

chenqianben/Unet

A demo of Unet to detect edges!

chenqianben/vision

Datasets, Transforms and Models specific to Computer Vision

chenqianben/walle-web

walle - 瓦力 Devops开源项目代码部署平台

chenqianben/Wide-and-Deep-PyTorch

PyTorch implementation of Tensorflow's Wide and Deep Algorithm