the-assembly Goto Github PK

2048

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

3d-printing-jewellery

3d_shooter_game

3d_topographic_maps

analyze-movie-reviews-with-tensorflow

In this session, we will demonstrate natural language processing using deep learning with the open-source TensorFlow library. We’ll build a machine learning model trained on a vast movie review dataset taken from IMDB - preparing the data using various techniques and incorporating multiple Keras layers for best results (rather than just a single dense layer) - before providing our system with custom reviews of our own and asking it to predict tone and favourability. Prerequisites: —Basic knowledge of Python —Basic knowledge of machine learning concepts —A Python IDE, like Google Colab (https://colab.research.google.com/) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings #TensorFlow #MachineLearning #DeepLearning

androidthings

animate-the-web-with-three.js

Three.js is a revolutionary open-source cross-platform JavaScript API and library that is used to create and display 3D computer graphics in a desktop web browser using WebGL, working at a high level to create GPU-accelerated animations without the need for plugins or external applications. The library comes packed with features not commonly associated with the web, including on-the-fly lighting effects, multiple camera angles, object geometry & material manipulation, and even VR/AR support through WebXR. In this session, we’ll cover the basics of the library and demonstrate how to code websites with 3D backgrounds, as well as show you how to bring 3D models onto the page for a whole new end-user experience you might not have thought possible before. Three.js is a revolutionary open-source cross-platform JavaScript API and library that is used to create and display 3D computer graphics in a desktop web browser using WebGL, working at a high level to create GPU-accelerated animations without the need for plugins or external applications. The library comes packed with features not commonly associated with the web, including on-the-fly lighting effects, multiple camera angles, object geometry & material manipulation, and even VR/AR support through WebXR. In this session, we’ll cover the basics of the library and demonstrate how to code websites with 3D backgrounds, as well as show you how to bring 3D models onto the page for a whole new end-user experience you might not have thought possible before. Prerequisites: ✅ Visual Studio Code (https://code.visualstudio.com/download) ✅ Basic knowledge of JavaScript and web programming ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings #3DAnimation #Three.js

api_ai_chatbot

ar-homeautomation

Home automation using Augmented Reality.

ar-iot

Internet of Things workshop conducted on 8th February 2021 in association with Etisalat Digital and PTC. In this session, we’ll show you how to create your own mobile AR experience using Vuforia Studio in conjunction with the Etisalat IoT platform. We’ll add 3D models associated with real world anchors, add mobile view widgets to interact with our model and bind data from the IoT cloud in a relevant manner. Prerequisites: Download Vuforia Studio trial: https://trial.studio.vuforia.com

ar.js_treasurehunt

ar_head

arduino-iot

Jan 11th 2020 @ in5 - Build A Telegram Bot For Arduino IoT Cloud. At this session, we’ll demonstrate these two powerful tools to Assembly users for the first time and then build a simple IoT automation system using the MKR 1010 with a variety of sensors and actuators, set up the communication scaffolding using the Arduino IoT cloud , and then add a simple user interface in Telegram , with a bot that controls our system remotely in response to simple chat commands.

arduino-triggered-camera-shutter

arduino_multimeter

arduino_pong

arduino_touchsensors

Feb 1st 2020 @ in5 - At this workshop, we’ll show you how to build & code a bunch of fun things from scratch, using this simple technique: 1. Turn an ordinary pencil sketch into a video game controller , 2. Create a digital piano that can be played by pressing on flower petals & leaves and 3. Send analog input to LEDs using a pencil

artificial-neural-networks-101

Machine learning has become a hot topic these days, but in their haste to adopt, many fail to understand the vast conceptual foundation that underpins the technology. In this session, we’ll address that by going back to basics to explore Deep Learning and Artificial Neural Networks from the ground up. We’ll cover the various input, output, and hidden layers that go into constructing an ANN and look at activation functions, weights, epochs, error correction, and backpropagation. We’ll show you how to use Python-based libraries and tools such as TensorFlow, NumPy, and pandas. For the hands-on part, we will build a simple banking app that predicts customer retention. Prerequisites: —Very basic knowledge of machine learning concepts & data science fundamentals —Google Colab to write and execute Python code: https://colab.research.google.com/ ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings

astronomy-notebooks

iPython Notebooks showing off NumPy, matplotlib, and our universe

augmented-reality-business-card

Jan 4th 2020 @ in5 - Make An Augmented Reality Business Card. At this session, we’ll show you how to use Unity & Vuforia to turn a simple printed card into a mixed reality portal for a wide array of interactive features including video and 3D animation - all overlayed on top of your card as viewed through the app.

authenticate-via-tensorflow-facial-recognition-in-flutter

The power of machine learning allows us to change long-standing computing paradigms. One of these is the age-old password-based authentication system common to most apps. With fast real-time facial recognition, we can easily dispense with text-based verification and allow users to log in just by showing their faces to a webcam. In this session, we’ll show how to do this in Flutter, Google’s popular open-source UI toolkit for developing apps for web, Android, iOS, Fuchsia, and many other platforms with a single codebase. We’ll first build a simple authentication-based Android app, and then deploy the Firebase ML Vision model for face ID & image processing; as well as the MobileFaceNet CNN model through TensorFlow Lite for structured verification. Once all these parts are in place, our solution will work seamlessly and can easily be ported to other apps. Pre-requisites: ✅ Android Studio (https://developer.android.com/studio) — you can also use other IDEs/platforms if you’d rather not use Android - Flutter documentation below guides on the same. ✅ Flutter SDK (https://flutter.dev/docs/get-started/install) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings #TensorFlow #Flutter #MachineLearning

automate-spotify-playlists-in-python

In this session, we’ll show you how to sync up your YouTube and Spotify playlists automatically. We’ll do this by using both the YouTube and Spotify APIs through Python with an assist from the open source YouTube_dl tool. Our solution will iterate through entries in our existing YouTube playlist, parse the data into song and artist name for each, run a background search on Spotify for the same, and create a new Spotify playlist with the same tracks for us to listen to - seamlessly replicating from one platform to the other at the click of a button. Prerequisites: ✅ Python (https://www.python.org/downloads/) ✅ PyCharm (https://www.jetbrains.com/pycharm/download/) or any other code editor for Python ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings

automate-whatsapp-with-selenium

Facebook’s WhatsApp is almost universal as the messaging service of choice on our mobile devices, with over 2 billion users worldwide. In this session, we’ll show you how to schedule and automate message sending to multiple people on WhatsApp using the Selenium web framework. Selenium is a very powerful library for browser automation and we will use its Chrome driver capabilities through Python to set up a bridge to WhatsApp’s desktop version. Prerequisites: —Python (https://www.python.org/downloads/) —Visual Studio Code (https://code.visualstudio.com/download) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings #Python #WebAutomation #WhatsApp

blockchain-with-r

bluetoothmaze

a maze controlled via bluetooth

build-a-custom-python-ide-with-tkinter

In this session, we’ll go meta as we build our own Python IDE in Python via the Tkinter toolkit. Tkinter is Python’s de-facto standard GUI and is included with installs across most operating systems. This workshop is one for all the coding ninjas who would like an environment perfectly suited to their needs and stripped of any unnecessary features that come with out-of-the-box IDEs like PyCharm & VSCode—just keeping a basic editor & compiler with a simple interface that can handle files—which can then be customized with unique functionalities of our choosing. Prerequisites: —Python (https://www.python.org/downloads/) —Visual Studio Code (https://code.visualstudio.com/download) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings #PythonIDE #DIY

build-a-face-mask-detector-with-tensorflow

During the COVID crisis, we’ve highlighted practical applications that aid in our safety - this week we’ll introduce some machine learning concepts into that pursuit! Face masks have become a mandatory feature in many segments of society and in this workshop, we’ll show you how to build a simple CNN (convolutional neural network) model to automatically detect whether someone is wearing one. For this purpose, we’ll use TensorFlow (in combination with Keras ). TensorFlow is a free open-source library developed by the Google team for data flow and symbolic math. Its prime application in practice has been neural network creation. In this session, we’ll be training ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at [email protected] ➡ Website: theassembly.ae ➡ Follow us on our social media: • Instagram: instagram.com/makesmartthings • Facebook: fb.com/makesmartthings • Twitter: twitter.com/makesmartthings

build-a-face-tracking-camera-with-computer-vision

11th April 2020 - In this workshop, we’ll show you to build a modified webcam apparatus, set on servos attached to an Arduino, that will identify faces using Computer Vision. Once a face has been identified using OpenCV, the servos will move the camera to ‘follow’ the face around while it’s still in view.

build-a-motorized-color-sorter-with-computer-vision

Computer vision is a field in which computers are taught to understand digital images and video input the way a human would. In this workshop, we'll introduce you to the OpenCV library, and build a motorized slide system that uses a webcam and OpenCV on a Raspberry Pi to sort differently colored cubes into organized stacks by color

build-a-restaurant-app-with-react-native