Machine Learning, Robotics, Iot, Coding, Tensorflowjs and 3D Printing Educator. 800 m runner
my-examples-for-the-arduino-portentaH7. My examples fir the new Arduino Pro board the Portenta H7
90beginner-tensorflowjs-examples-in-javascript. For anyone who knows a bit of Javascript and wants to know some Machine Learning
78easy-tensorflow-on-cloud9. Hopefully the easiest way to get started with Google's TensorFlow Deep Learning Neural Network Python Library
48maker100. Maker 100, Robotics and Machine Learning Basics with the Dual Core Arduino Portenta and Shields
45portenta-pro-community-solutions. Portenta Pro Community Solutions
36everything-nrf52840-usb-dongles. Anything I can find about the various nrf52840 usb dongles by Nordic, Arduino, Adafruit, Sparkfun and others
24maker100-eco. Robotics, IoT and TinyML Machine Learning using in-expensive hardware such as the $14 Seeedstudio XiaoEsp32s and the $14 RakWireless Rak2270StickerTracker
23face-api.js-for-beginners. HTML
16Particle-Spark-Core-Photon-Websocket-Hack. A tiny demo using the einaros/ws WebSockets implementation.
16maker100-curriculum. maker100-robotics-iot-machine-learning-curriculum
15particle.io-photon-high-school-robotics. Most of the important files from my High School Robotics course using the particle.io photon a wifi out of the box arduino.
15fourth-tensorflow. Forth attempt at making tensorflow easier for windows users
14spark-core-web-page-html-control. Example control of the spark core and perhaps photon with a simple html web page
13google-magenta-midi-music-on-linux-hello-world. Bash install scripts to get Google Magenta working easily on a linux ubuntu computer. Move from a folder with several midi files to a tensorflow generated set of output files.
13rabbit-r1-personal-companion-unboxing. A github of possible unboxing tests to run on the jan 9th, 2024 rabbit r1 personal companion
11bash-android-cloud9. using bash to automate the Android-SDK install specific to cloud9 and then create a debug Hello-Worled App and Access webpage
11my-examples-of-edge-impulse. My examples of using Edge Impulse for machine Learning for High School Students
10deeplearnjs-javascript-examples. Trying to make the largest repository of deeplearnjs example code
10arduino-high-school-robotics-course. A High School Robotics course using presently using the Particle.io photon but later using several Arduino boards from the: Nano33Iot, Nano33BleSense, PortentaH7, and also few others boards that I have put the Arduino nRF52840 Bootloader onto.
9high-school-javascript-game-dev-assignment-images. All the assignments for Game Dev as images
9maker100-xiaoML-kit. maker100-latest course
9tensorflowjs-bvh. This is a guess that posenet and bvh were meant to be together
7tensorflow-udacity-deep-learning. An attempt to setup tensorflow deep learning with udacity online instead of on your own computer
6my-examples-of-arduino-webUSB-webSerial. HTML
6magenta-music-layer-research. Quick study to what effect different layers and training runs have on magenta
5mcu-stable-edu-launch. What examples should a new microcontroller board present when it is launched
5my-3D-printing-stl. Just a place to put a few 3D Printing STL files
5my-examples-of-huggingfacejs. HTML
4my-examples-of-iot-platforms. HTML
4tfjs-node-saving-parallel-training. Use multiple web servers to train one keras tensorflowjs model saving to a nodejs server.
4my-tensorflow-magenta-online. An option for windows users and others to install and use Google's Magenta Music Artificial Intelligence Software online using Cloud9. Only catch is that you need to pay cloud9 for the extra data needed
3my-gitpod-of-openthread. Shell
3my-installs-for-bash-on-windows. Since bash on windows linux subsystem is new it is perfect for a fresh install of lots of developer software
3robocar. Shredder RC car arduino hacked for machine learning with PortentaH7 and vision shield
3bash-on-windows-android-sdk-installation-linux-subsystem-. Testing if I can install the android sdk on windows new anniversary edition bash
3my-gitpod-vnc. debian linux virtual desktop using gitpod.io
3maker100-xiao-esp32s3-sense. maker100-eco with a LoRa capable Seeedstudio module for the IoT part.
3diy-flexible-pcb-biosensor. C++
3phonegap-app-star-track. The PhoneGap media example app
3particle-photon-web-page-control. The simplest way I have made to control a Particle.io Photon using a webpage (formerly Spark.io Core)
3tinyMLjs. Client side, single file webpage tools using javascript based tensorflowjs for full control Machine Learning using microcontrollers
3my-examples-of-ai-agents. My examples of static web page AI agents (may have some backend stuff also)
2gitpod-tensorflowjs-to-arduino.
2maker101. JavaScript
2built-in-ai-wifi-chat. All AI chat using chrome built in AI and a mobile hotspot (hopefully without internet)
2my-gitpod-ionic-cordova. Shell
2my-examples-and-posts-of-g1-even-realities-smart-glasses. My ones are the G1B multifocal prescription smart glasses
2visst2023. my summer camp
2musicSocket. JS Dynamic Audio Synth
2my-gitpod-dockerfile-cordova. Testing if I can change a gitpod yml file to a docker file
2my-examples-of-transformersJS. my examples of how to put transformers.js onto SPA's single page applications (static webpages)
2android-arduino-serial-usb. android-arduino-serial-usb-using phonegap and Cloud9 with auto load android sdk makes a webpage with the .apk for imediate download
2pgb-mobile-app-design. Using the Phonegap Developer App and NItrous.io this should eventually be a complete Mobile App Design course for High School Students
2TensorFlow-Android-Camera-Demo-on-Cloud9. TensorFlow Android Camera Demo loaded onto Cloud9 for ease of use
2particle-photon-testing-circuit. Trying to make a Particle Photon testing breadboard and PCB setup
1jeremy-ellis-tinyML-teacher-feedback-2022. jeremy-ellis-tinyML-teacher-feedback-2022
1multi-language-edgeimpulse-tutorial-vision-cell-phone. HTML
1helium-data-node-receive-send-for-arduino-portenta. HTML
1teach-chrome-built-in-ai-with-examples. Make it easy for people to get up and running with chrome built-in AI.
1tinyML4D-ml-kits. What machine learning kits are the best educational value for the lowest price and ease of use.
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