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Name: Navid Lambert-Shirzad
Type: User
Location: Seattle, WA
Name: Navid Lambert-Shirzad
Type: User
Location: Seattle, WA
A curated list of awesome anomaly detection resources
Essential Cheat Sheets for deep learning and machine learning researchers
This repository has my lecture notes and assignments from the "Applied Machine Learning in Python" course. This course is part of the "Applied Data Science with Python" Specialization, provided by University of Michigan on Coursera.
This repository has my lecture notes and assignments from the "Applied Plotting, Charting & Data Representation in Python" course. This course is part of the "Applied Data Science with Python" Specialization, provided by University of Michigan on Coursera.
This repo was created as a requirement for final assignment of "Data Scientist's Toolbox" on Coursera.
This repo was created as a requirement for final assignment of "Exploratory Data Analysis" on Coursera.
This is the final project for Getting and Cleaning Data course from Johns Hopkins Data Science Specialization series.
This repository has my lecture notes and assignments from the "Introduction to Data Science in Python" course. This course is part of the "Applied Data Science with Python" Specialization, provided by University of Michigan on Coursera.
Repository for Programming Assignment 2 for R Programming on Coursera
A paper list of object detection using deep learning.
Plotting Assignment 1 for Exploratory Data Analysis
Face recognition using Tensorflow
Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users
Navid's Various Projects
Models and examples built with TensorFlow
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
This is the work I did to statistically determine how much exploratory motion data is required for reliable motor synergy analysis in healthy and stroke-survivor populations. This was done as part of my PhD work.
Peer Assessment 1 for Reproducible Research
Final Project of Statistical Inference (Coursera)
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
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.