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Name: Mohamed Elgendy
Type: User
Bio: engineer
Location: San Francisco, CA
Blog: http://kolena.io
Name: Mohamed Elgendy
Type: User
Bio: engineer
Location: San Francisco, CA
Blog: http://kolena.io
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A curated list of awesome computer vision resources
My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier
An intro to computer vision course created for Amazon's machine learning university
Exercise notebooks for CVND.
This repository accompanies the book "Deep Learning for Vision Systems".
Face recognition and its application as attendance system
Example demonstrating how gradient descent may be used to solve a linear regression problem
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Training and Detecting Objects with YOLO3
Python client for Kolena's machine learning testing platform
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
A complete daily plan for studying to become a machine learning engineer.
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Documentation templates for open source projects.
Text and supporting code for Think Stats, 2nd Edition
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
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.