José Guilherme's starred repositories

k-means-constrained

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

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Best-README-Template

An awesome README template to jumpstart your projects!

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FNA

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

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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.

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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.

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Image_Segmentation

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

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isic-2018

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

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unet

unet for image segmentation

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lesion-segmentation-melanoma-tl

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

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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.

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isic-2018

skin cancer segmentation using unet

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ISIC2018_Segmentation

A picture segmentation project using "Unet model"

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melanoma_segmentation

Segmentation of skin cancers on ISIC 2017 challenge dataset.

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robot-surgery-segmentation

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

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awesome-ufma

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

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ISIC-Archive-Downloader

A script to download the ISIC Archive of lesion images

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segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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Portuguese-Hate-Speech-Dataset

A Hierarchically-Labeled Portuguese Hate Speech Dataset

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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

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create-react-app

Set up a modern web app by running one command.

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Simple-FTP-Server-and-Client

A small exercise for protocol design and sockets programming

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jsftp

Light and complete FTP client implementation for Node.js

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muffin-cupcake

classifying muffin and cupcake recipes using support vector machines

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filmow_to_letterboxd

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

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