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Name: JJSaenzGamboa
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Name: JJSaenzGamboa
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Supporting data files, documentation, and updated tips for the Cell Painting protocol
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
A curated list of awesome data labeling tools
Massive Image Data Anatomy Spine
BrainBox is a web application that let's you annotate and segment 3D brain imaging data in real time, collaboratively.
Configurable Pipeline for the Analysis of Connectomes
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Código para el curso "Aprende Data Science y Machine Learning con Python"
Keras implementation of CycleGAN using a tensorflow backend.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
Jupyter Dashboards Layout Extension
A paper list of semantic segmentation using deep learning.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Faster R-CNN for Open Images Dataset by Keras
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
starter from "How to Train a GAN?" at NIPS2016
ImageJ programming examples
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
A playable implementation of Fully Convolutional Networks with Keras.
Keras implementations of Generative Adversarial Networks.
Medical Imaging Data Structure (based on BIDS)
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
Most popular metrics used to evaluate object detection algorithms.
Play with neural networks!
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
A boilerplate for writing PySpark Jobs
Python tutorials in both Jupyter Notebook and youtube format.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.