Popular GitHub Repositories for User Interface

One-click training of your own GPT. Training a GPT has never been easier. / 训练一个GPT原来可以这么简单？

Local ML voice chat using high-end models.

Neural Action is a real-time CNN-based gaze tracking application providing human-machine interface to improve accessibility.

Generating Realistic Synthetic Data

Simple. elegant LLM Chat Inference

Explore the evolving world of PyQt6 through 'PyQt6-DataWizard,' a step-by-step guide featuring progressive examples from basic data handling to advanced machine learning integration. Perfect for learners and professionals seeking practical PyQt6 applications.

Profiler Application using Sentiment Analysis

Web Chat Widget - built with ChatGPT (GPT-4)

Creata?allows you to create stunning AI-generated images effortlessly??, it is a project that showcases my UI and API skills.

This chatbot was developed to assist personal healthcare.

UI for openAI API to generate iteratively, branch out, save and retrieve states. Cyborgism & Multiverse playground.

Generative UI library for generative projects

The Voice Assistant GUI is a GitHub repository that contains a project for building a Graphical User Interface (GUI) for a voice assistant. The project is built using Python programming language and utilizes popular libraries such as Flet, pyttsx3, and SpeechRecognition. The project includes pre-built commands and responses

LinguaFlow - A customizable and conversable system for next-generation large language model (LLM) applications using multiple agents that can converse with each other to solve tasks.

Project page of paper "SUM: Saliency Unification through Mamba for Visual Attention Modeling"

An empirical comparative study on energy efficiency of LLMs (ChatGPT, Bard, Llama2) associated User Interfaces.

Unimatrix autonomy for AI on the desktop — a signature full agency implementation

Responsive user interface for an NL-to-SQL system.

This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.