josegpl

josegpl's Stars

• facebook/create-react-app

  Set up a modern web app by running one command.

  Language:JavaScript103k1.9k8.3k26.8k

• othneildrew/Best-README-Template

  An awesome README template to jumpstart your projects!

  13.9k743822.8k

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.7k925271k

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.5k1022342k

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.7k2592595

• sergi/jsftp

  Light and complete FTP client implementation for Node.js

  Language:JavaScript80717196157

• ternaus/robot-surgery-segmentation

  Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

  Language:Jupyter Notebook6192230212

• sharmaroshan/Twitter-Sentiment-Analysis

  It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

  Language:Jupyter Notebook22844122

• nikhilroxtomar/Deep-Residual-Unet

  ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

  Language:Jupyter Notebook2196454

• GalAvineri/ISIC-Archive-Downloader

  A script to download the ISIC Archive of lesion images

  Language:Python19883063

• adashofdata/muffin-cupcake

  classifying muffin and cupcake recipes using support vector machines

  Language:Jupyter Notebook189103266

• joshlk/k-means-constrained

  K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

  Language:Jupyter Notebook18864541

• JaminFong/FNA

  Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)

  Language:Python165102228

• nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow

  UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

  Language:Jupyter Notebook14283112

• lixiaolei1982/Keras-Implementation-of-U-Net-R2U-Net-Attention-U-Net-Attention-R2U-Net.-

  Keras Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

  Language:Python1203322

• elheremes/awesome-ufma

  Uma lista de provas das disciplinas ministradas na Universidade Federal do Maranhão.

  Language:Python1077935

• manideep2510/melanoma_segmentation

  Segmentation of skin cancers on ISIC 2017 challenge dataset.

  Language:Jupyter Notebook525221

• yanari/filmow_to_letterboxd

  Importa os filmes assistidos no Filmow pra serem passados pro Letterboxd.

  Language:Python392610

• zabir-nabil/lesion-segmentation-melanoma-tl

  Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning approach with U-Net and DCNN-SVM

  Language:Jupyter Notebook333014

• paulafortuna/Portuguese-Hate-Speech-Dataset

  A Hierarchically-Labeled Portuguese Hate Speech Dataset

  31306

• cygnus77/isic-2018

  ISIC-2018 Lesion Boundary Segmentation, Attribute Detection and Disease Classification

  Language:Jupyter Notebook11011

• dianwen-ng/ISIC-melanoma-segmentation

  Language:Jupyter Notebook70

• xyf0561/ISIC2018_Segmentation

  A picture segmentation project using "Unet model"

  Language:Jupyter Notebook51

• mhy001/Simple-FTP-Server-and-Client

  A small exercise for protocol design and sockets programming

  Language:Python42

• jamikapika14/isic-2018

  skin cancer segmentation using unet

  Language:Jupyter Notebook10