stanfordmlgroup Goto Github PK
Name: Stanford Machine Learning Group
Type: Organization
Bio: Our mission is to significantly improve people's lives through our work in AI
Location: Stanford, CA
Blog: mlgroup.stanford.edu
Name: Stanford Machine Learning Group
Type: Organization
Bio: Our mission is to significantly improve people's lives through our work in AI
Location: Stanford, CA
Blog: mlgroup.stanford.edu
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Seamless Scene Segmentation
Code repository supporting the paper "Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation" - MIDL 2024
Our project on using computer vision to combat computer vision for a cause I hope you care about. #BlackLivesMatter
Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
CheXpert NLP tool to extract observations from radiology reports.
Code used in paper "CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness"
Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Queue system (jobs) on the deep cluster
DICOM Web Viewer: open source zero footprint medical image viewer.
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
Novel metabolomics approach combined with machine learning for the diagnosis of influenza from nasopharyngeal specimens
LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.
LiverCancerAssistant
Captured Dataset for LiverCancerAssistant publication
Public release for MedAug
Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning
Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
MoCo-based unsupervised training for Chest X-Ray Interpretation
Natural Gradient Boosting for Probabilistic Prediction
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.