Popular GitHub Repositories for Left Skwed

Meta's "No Language Left Behind" models served as web app and REST API

A performant high-throughput CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.

[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.

Winner of The Lucky Wheel Hackathon: https://theluckywheel.techatjasmin.com/#results. A 3D snake game written in threejs, which uses Tensorflow (ML) to control the snake with head movements. Move your head left and right to control the snake and open your mouth to make the snake slower! All magic is rendered on the screen using Canvas API.

A rule-based ai system inspired by Left 4 Dead's Ai Director. Manages the intensity of gameplay and allows designers to define their own rules for shooter and survival games in Unity.

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.

A solution for the problem of left-turn decision-making at intersections without traffic signals.

This script adds RTL support to Copilot Chat by applying RTL direction, Vazir font, and custom font sizes, while keeping code blocks and result editors LTR for correct formatting. راست چین کردن هوش مصنوعی کوپایلوت در وی‌اس‌کد

[EMBC 2021] Official Implementation for "Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation"

Detects Left, Right and Stop movements which are hand gestures which are steering wheel movements.

Automatically segment the left Atrium in cardiac images

This project is a simple web-based chatbot interface using the Gemini Pro API for natural language processing. The chatbot interface allows users to send messages and receive responses from the bot in real time. User messages are aligned to the left, and bot responses are aligned to the right.

In this project I have tried out designing a Neural Network code to traing and classify images into forward, left and right direction and send the data to arduino via bluetooth to drive the arduino controlled Robotic car.

Official implementation of Echo-DND: A Dual Noise Diffusion Model for Robust and Precise Left Ventricle Segmentation in Echocardiography

The Heart MRI Image-Left Atrial Segmentation dataset is a comprehensive collection of cardiac magnetic resonance imaging (MRI) data specifically focused on the segmentation of the left atrium. The dataset aims to facilitate research and development in the field of cardiac image analysis, particularly for automated segmentation.

This repository contains data visualization programs on various datasets done using python.

Applying Bezier curves and 68 Face Landmarks to Map Left and Right Cheek Zones

A Ball Blast Game that uses the transfer learning and KNN algorithm as a backbone to train the model in the browser and use that trained model to control the movements of canon(ie. move left, move right, stay still).

Left Brain AI is an AI-powered assistant built with Bun.js and Next.js, using Ollama to run the DeepSeek AI model locally. It is optimized for speed, efficiency, and privacy by processing everything on your machine.

The Virtual Mouse enables users to execute mouse operations such as left and right-click, as well as control volume up and down. Additionally, Virtual Air Writing allows users to write on a canvas using hand gestures, with the ability to predict the air-written text and access options like speaking or saving the text.