Active Merchant is a simple payment abstraction library extracted from Shopify. The aim of the project is to feel natural to Ruby users and to abstract as many parts as possible away from the user to offer a consistent interface across all supported gateways.

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

Experience the look and feel of Windows 11 directly in your browser with this web-based clone. Enjoy a similar user interface and functionality.

NodeJS Task List derived from the best! Create beautiful CLI interfaces via easy and logical to implement task lists that feel alive and interactive.

Lean theorem proving interface which feels like pen-and-paper proofs.

Watch videos with your friends. The spiritual successor to TogetherTube, preserving the spirit of it's simple to use interface, while improving it's look, feel, and reliability.

Interfaces That Feel Right, Out of the Box (For React)

An agent skill based on the "Details that make interfaces feel better" article

Magewire is a Laravel Livewire port for Magento 2. The goal is to make it fun and easy to build modern, reactive and dynamic interfaces, without leaving the comfort of Magento's core layout and template systems. Magewire can be the missing piece when you intend to build dynamic and reactive features, but don't require or feel comfortable working with a full JavaScript framework like Vue or React.

A HTML5, JS, CSS Camera interface template. Feel free to use it in your next Computer Vision or AI project.

A PlayStation-inspired theme that brings the look and feel of the PS3, PS4, and PS5 interfaces, with custom avatars, usernames, RetroAchievements support, and much more for Batocera, RetroBat, and EmuElec (Or any frontend using the Batocera EmulationStation fork). Also available on the official themes download list

This user-friendly interface allows easy scheduling and management of appointments with doctors, ensuring a seamless experience for users. The project is open-source and publicly available on GitHub for exploration and contributions. Feel free to check it out and provide valuable feedback

Feel the fluid interactive interfaces - Apple uses for all apps like Appstore etc.

The Insta Clone Project is a static web application created using HTML and CSS, designed to replicate the core functionalities of Instagram's user interface. This project features several sections that mimic the look and feel of the popular social media platform, providing an interactive experience for users.

This pure CSS theme replaces the look and feel of the Kanboard user interface. For modern browsers using gradients and shades of blue and red, KanboardCSS refreshes the the user experience. A new animated notification icon easily identifies new messages without affecting browser performance.

We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please consult our donation policy. For any other questions, feel free to contact the Repository librarians.

A todo plugin for markata. It is a tui (text user interface) that runs in the terminal using textual. It gives me a trello-board feel from the terminal. I can create, update, delete, move, and fully manage my todo items from the terminal with it.

UPDATE 20210705: Adding ZeroMQ functions in to allow full-duplex comms with deep parts of the hosts' cognitive processes, and expose speech recognition background processes, visual processes, etc. ORIGINAL DESCRIPTION >>>This is a working version of the iconic Behavior Pad "Rose Graph" Interface that the Westworld Techs use to set Host Behavioral Attributes (See SCREENSHOT.jpg). It is written in HTML5 using Canvas, CSS, JavaScript and PHP. It has only been tested in Chrome. I have a copy running on an Apache server "in the wild" as well as a copy running on Raspberry Pi SBCs that serve as "Host Brains" in my robots. Those Raspberries are running NGINX server and VSFTPC. This project allows you to set and save host parameters (reads and writes text files to the server if you have R/W perms). The parameters file (ATTRIBS.txt) allows you to fully customize the Attribute Names. The system auto-scales to fit whatever screen size you are using, I've tested on my Android phone (LG V20) up to my 32" monitor. Feel free to add, customize as you like, just please provide credit to me for the hard work I did to get it to this point, and will continue to do as I add more features. The eventual goal is reproducing working functionality of all the Behavior Pad Screens we've seen in the awesome HBO series Westworld.

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The code includes the core features essential for building any AI chat experience. Feel free to use it as a starting point for your own AI chat interface. (MIT License)

Samples showcasing how you can let the XProtect Management Client, Event Server or Smart Client host your application. This allows improved ease of use and help towards a common look and feel for the end user, while providing a single user interface for the operator.

Signal generators, easing, RNG & more Rust crate providing mathematical primitives to make TUIs, games, and creative tools feel alive and organic. Stop hardcoding magic numbers and start designing motion. Built for cinematic terminal interfaces, it bridges the gap between raw math and natural behavior without the overhead of full audio DSP engines.

Doki Doki Literature Club modification which improves various aspects of the user interface while retaining original look and feel.

Marketing Cloud Theme: Use Fuel UX 3 and Bootstrap 3 to create a user interface with the look & feel of existing Salesforce Marketing Cloud applications. View the latest at

This is a command line tool that provides useful commands alongside a fun interface for interacting with your operating system. The goal is to feel like a wizard while accomplishing everyday tasks.

ChatBot UI is just a basic user interface piece for chatbot. Feel free to use this code in your chatbots.

Modern gives the Matomo user interface a minimalist look and feel.

Machine learning using convolution neural network Required: raspberry pi pi cam compatibile rc car motor driver l293d Please create the respective files: forward idle left right reverse optimized_thetas This project aims to build an autonomous rc car using supervised learning of a neural network with a single hidden layer. We have not used any Machine Learning libraries since we wanted to implement the neural network from scratch to understand the concepts better. We will be referring the DC motor controlling the left/right direction as the front motor and the motor controlling the forward/reverse direction as the back motor. Connect the BACK_MOTOR_DATA_ONE and BACK_MOTOR_DATA_TWO GPIO pins(GPIO17 and GPIO27) of the Raspberry Pi to the Input pins for Motor 1(Input 1, Input 2) and the BACK_MOTOR_ENABLE_PIN GPIO pin(GPIO22) to the Enable pin for Motor 1(Enable 1,2) in the L293D Motor Driver IC. Connect the Output pins for Motor 1(Output 1, Output 2) of the IC to the back motor. Connect the FRONT_MOTOR_DATA_ONE and FRONT_MOTOR_DATA_TWO GPIO pins(GPIO19 and GPIO26) of the Raspberry Pi to the Input pins for Motor 2(Input 3, Input 4) in the IC. Connect the Output pins for Motor 2(Output 3, Output 4) of the IC to the front motor. The PWM_FREQUENCY and INITIAL_PWM_DUTY_CYCLE represent the initial frequency and duty cycle of the PWM output. We have created five class labels namely forward, reverse, left, right and idle and assigned their expected values. All class labels would require a folder of the same name to be present in the current directory. The input images resize to the dimension of the IMAGE_DIMENSION tuple value during training. The LAMBDA and HIDDEN_LAYER_SIZE values represent the default lambda value and the number of nodes in the hidden layer while training the neural network. All these values are configurable in configuration.py. The images for training are captured using interactive_control_train.py, the car is controlled using the direction arrows and all the images are recorded in the same folder along with the corresponding key press. After segregating the images into their corresponding class folders, the neural network is trained using train.py which takes two optional arguments - lambda and hidden layer size; default values would be those specified in the configuration file. At the command prompt, run the following command Once we have the trained model, the RC car is run autonomously using autonomous.py which takes an optional argument for the trained model; default will use the latest model in the optimized_thetas folder. Please feel free to post your doubts on code through my linkedin link: edin.com/in/shreyas-ramachandran-srinivasan-565638117/ CONTROLLING THE CAR The controlling process consists of 4 parts:  The sensor interface layer includes various programming modules worried about getting and time stamping all sensor information.  The discernment layer maps sensor information into inward models. The essential module in this layer is the PI camera, which decides the vehicle's introduction and area. Two distinct modules enable auto to explore in view of ultrasonic sensor and the camera. A street discovering module utilizes the PI camera determined pictures to discover the limit of a street, so the vehicle can focus itself along the side. At last, a surface evaluation module separates parameters of the present street to determine safe vehicle speeds.  The control layer is in charge of managing the controlling, throttle, and brake reaction of the vehicle. A key module is the way organizer, which sets the direction of the vehicle in controlling and speed space.  The vehicle interface layer fills in as the interface to the robot's drive-by-wire framework. It contains all interfaces to the vehicle's brakes, throttle, and controlling wheel. It likewise includes the interface to the vehicle's server, a circuit that manages the physical capacity to a significant number of the framework segments. In the proposed system, the raspberry Pi is used to control the L293D board, which allows motors to be controlled through the raspberry pi through the pulses provided by it. Based on the images obtained, raspberry pi provides PWM pulses tocontrol the L293D controller. L293D is a 16 Pin Motor Driver IC as shown in Figure 9. This is designed to provide bidirectional drive currents at voltages from 5 V to 36 V. Fig 9 L293D Breakout Board It also allows the speed of the motor to be controlled using PWM. It’s a series of high and low. The Duration of high and low determine the voltage supplied to the motor and hence the speed of the motor. PWM Signals: The DC motor speed all in all is specifically relative to the supply voltage, so if lessen the voltage from 9 volts to 4.5 volts, then our speed turn out to be half of what it initially had. Yet, for changing the speed of a dc motor we can't continue changing the supply voltage constantly. The speed controller PWM for a DC motor works by changing the normal voltage provided to the motor.The input signals we have given to PWM controller may be a simple or computerized motion as per the outline of the PWM controller. The PWM controller acknowledges the control flag and modifies the obligation cycle of the PWM motion as indicated by the prerequisites. In these waves frequency is same but the ON and OFF times are different. Recharge power bank of any capacity, here, 2800 mAH is used (operating voltage of 5V DC), can be used to provide supply to central microcontroller. The microcontroller used will separate and supply the required amount of power to each hardware component. This battery power pack is rechargeable and can get charged and used again and again.

This is the repository for CLIU - Command Line Interface for Unity. This project is open source under Creative Commons 4.0. Feel free to make pull requests to improve this project. More info available at the Asset Store.

The Virtual Wardrobe is a “Clueless” inspired website that allows users to organize, customize, and plan outfits. Users are able to visualize their wardrobe and bring it to life by using the different features available. Whether you are a fashion enthusiast or fashion newbie, The Virtual Wardrobe is able to help you find your style by taking the Aesthetic quiz. The user-friendly interface allows users to feel comfortable exploring their style and adventure into the different realms of fashion.