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Name: Luis Candanedo
Type: User
Bio: Data Scientist & IoT & Mechanical Engineer with M.A.Sc. and Ph.D. degrees. I love doing data analysis, visualization and Machine learning.
Location: San Jose, CA
Name: Luis Candanedo
Type: User
Bio: Data Scientist & IoT & Mechanical Engineer with M.A.Sc. and Ph.D. degrees. I love doing data analysis, visualization and Machine learning.
Location: San Jose, CA
Repository hosting the files for "A methodology based on Hidden Markov Models for occupancy detection and a case study in a low energy residential building"
Fork of official Debian package
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
Discover how every solution in some way related to the IoT needs a platform and how to create that platform. This book is about being agile and reducing time to market without breaking the bank. It is about designing something that you can scale incrementally without having to do a lot of rework and potentially disrupting your current state of the work. So the key questions are: what does it take, how long does it take, and how much does it take to build your own IoT platform? Build Your Own IoT Platform answers these questions and provides you with step-by-step guidance on how to build your own IoT platform. The author bursts the bubble of IoT platforms and highlights what the core of an IoT platform looks like. There are must-haves and there are nice-to-haves; this book will distinguish the two and focus on how to build the must-haves. Building your own IoT platform is not only the biggest cost saver, but also can be a satisfying learning experience, giving you control over your project.
In this post, we will learn how to create our own ‘Invisibility Cloak’ using simple computer vision techniques in OpenCV.
Jetson Nano Quadruped Robot Object Detection Tutorial
Keras tutorial for Kaggle 2nd Annual Data Science Bowl
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Dynamic Documents with R and knitr
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
a cross-platform library for USB video devices
A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate
Timeseries sequence to label predictions with an LSTM neural network
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Build a Jekyll blog in minutes, without touching the command line.
Reading data from a TSL2561 lux sensor with an Arduino and then logging the data in a computer with a matching processing code/sketch. The data is transmitted using low and high bytes.
A brief tutorial on how to build machine learning models in TensorFlow
Udemy Mastering Microcontroller Course Repository
Standard MIDI Files (SMF) Processing Library
Core Python libraries ported to MicroPython
The repository provides usefull python scripts for ML and data analysis
mlr: Machine Learning in R
Modified code to avoid memory allocations errors during accuracy evaluation
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
R/Stata code to map out the moral economy of a few social policy issues in various countries.
A web frontend for the motion daemon.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contains examples for the Movidius Neural Compute Stick.
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.