yejg2017 Goto Github PK

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

doubletfinder

R package for detecting doublets in single-cell RNA sequencing data

eye-picture-project

include Resnet,Densenet,CNN

eye_mask_rcnn

Mask RCNN used for Eye dataset.Eye dataset annotation use VGG Image Annotator.

facepapercollection

A collection of face related papers

fewshot-egnn

flask-gan-simpledemo

flask-web-in-dl-classifier

gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

gazetracking

👀 Eye Tracking library easily implementable to your projects

generative_inpainting

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jiahuiyu.com/deepfill

genrich

Detecting sites of genomic enrichment

geo

go-books

Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.

googlenet-retrain

idrid-lesion-segmentation

The implementation of the segmentation on retinal lesions

idrid-segmentation

idrid_challenge_mask-rcnn

The Mask RCNN's application in IDRiD(only for challenge 1)

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,etc)

machine-learning-with-pyspark

Source Code for 'Machine Learning with PySpark' by Pramod Singh

mask-rcnn-series

This series we'll use Mask RCNN

mastering-julia-1.0

Mastering Julia 1.0 by Packt Publishing

meta-dataset

A dataset of datasets for learning to learn from few examples

metalearning-lstm

pytorch implementation of Optimization as a Model for Few-shot Learning

ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

model-zoo

Please do not feed the models

mpal-single-cell-2019

Publication Page for MPAL Paper 2019