saharzafari Goto Github PK
Name: Sahar Zafari
Type: User
Company: University of Texas at Austin
Location: Austin, TX
Name: Sahar Zafari
Type: User
Company: University of Texas at Austin
Location: Austin, TX
Efficient Segmentation for Volumetric Data
A modular, 3D unet built in keras for 3D medical image segmentation. Also includes useful classes for extracting and training on 3D patches for data augmentation or memory efficiency.
A module for creating 3D ResNets with different depths and additional features.
3D Unet for Isointense Infant Brain Image Segmentation
Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
Data science interview questions with answers. Not ideally (yet)
Fast Shadow Detection from a Single Image Using a Patched CNN
A collection of useful .gitignore templates
Framework for machine learning projects at Insight Data Science
Using Project Jupyter for data science.
Companion code from k-folds cross validation tutorial on kmdatascience.com
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
A booklet on machine learning systems design with exercises
A method to segment overlapping nanoparticles using branch and bound algorithm
A method to segment overlapping nanoparticles using concave points
A radial symmetry based method for segmentation of overlapping objects
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
My thecnical notes on machine learning
MTCNN face detection implementation for TensorFlow, as a PIP package.
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
Patch Extraction from volume of medical images (MRI,PET,CT) with available Region of Interest (ROI)
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
This repository contains the python implementation of a shadow detection algorithm
Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
An Open Source Machine Learning Framework for Everyone
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.