Popular GitHub Repositories for Enter Synthora

Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

Synthora is a lightweight, extensible framework for LLM-driven agents and ALM research. It provides the essential components to build, test, and evaluate agents, enabling you to assemble an agent with a single configuration file. Our goal is to minimize effort while delivering robust functionality.

A powerful and automatic awesome list generator leveraging GPT models. Enter your keyword and its description to get a comprehensive list of resources in Markdown format

Generates ChatGPT/BingChat & GPT-4 prompts using this model trained by Kaludi. Enter a role and a prompt will be generated based on it.

Create your ChatBot using OpenAI API (ChatGPT). Enter your API Key and Run Single File. Structured and Commented Code for Ease. Also added WebApp Template for Reference!

Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.

Pixio is is a web application that generates stable images based on user prompts using various AI models. It provides an interface for users to enter a prompt, select models, and generate images. Users can also send the generated images to a Discord channel.

A simple interface where users can search for contextually relevant text passages in documents. It employs DistilBERT model for semantic embeddings and FAISS for efficient similarity search. When users enter a query, the system returns the most contextually relevant text passage from the corpus and highlights the matched keywords.

Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.

Genessay is a content generation system where the user can enter incomplete sentences and phrases and the system will generate the content according to the input

A dynamic learning assistant designed to simplify the onboarding and training process for new hires. Users can upload documents or enter URLs for training materials. Built with Spring Boot, @Langchain4j and spring-ai

A pre-trained language model to generate code based on user input. It prompts the user to enter a prompt, tokenizes the input, and generates a sequence of tokens based on the input using a pre-trained model. The generated sequence is then decoded and printed to the console.

A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.

A feature-rich web application for automated news scraping and summarization. It allows users to enter article URLs, fetches the full content, and generates concise summaries. The system supports both local inference with custom models and remote deployment via FastAPI or Streamlit interfaces.

Software project assistant - enter your task description and get possible task solutions.

Simple User Interface: Enter text and generate speech with a single click.

Trip Tales: Enter destinations, get activity tips powered by OpenAI. Built with HTML, CSS, JS, Express.js, Bootstrap, and EJS. User management, trip creation, editing, and deletion. APIs for user, trip, session management. Evolve your knowledge with Trip Tales.

A web application for generating ad banners using OpenAI's GPT-3. Simply enter a description, and the application generates a title, description, call to action, and an image for your banner.

Visualization of Text Content based on extracted text using NLP method. Enter a document, extract the key information from the document, structure it, and finally organize it into a graph based network visualization. The output graph displays the semantic information of a website content.

In this tutorial repository, I demonstrate how NavMeshModifiers and NavMeshModifierVolumes work with Cost Modifiers to control NavMeshAgent pathing. I also implement a simple script to slow down NavMeshAgents when they enter a more costly zone.