mrtnoshad Goto Github PK
Name: Morteza Noshad
Type: User
Bio: Researcher at Stanford University Research Interests: Machine Learning, Recommender Systems, NLP, Biomedical Informatics
Location: San Francisco, CA
Name: Morteza Noshad
Type: User
Bio: Researcher at Stanford University Research Interests: Machine Learning, Recommender Systems, NLP, Biomedical Informatics
Location: San Francisco, CA
Access_log data, Moore Project
An Optimal Estimator of Bayes Error Rate Based on Chebyshev Polynomials
Clinical decision support system by HealthRex laboratory at Stanford University.
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning
The code for the paper Scalable Hash-Based Estimation of Divergence Measures
Heme-stamp project
Estimation of Information Bottleneck in Deep Neural Networks
Prediction of Specialty Diagnostic Procedures for the Patients with Cognitive Impairment Diseases Using Deep Representation Learning of Electronic Health Record
Rate-Optimal Divergence Estimation Based on Nearest Neighbor Ratios
A practical approach to learning machine learning.
Clinical Process Mining
This repos contains sample codes for any thing
Support content for my blog
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.