Synthetic data generation for tabular data
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Updated
Nov 19, 2025 - Python
Synthetic data generation for tabular data
VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution
Threat Designer is a GenerativeAI application designed to automate and streamline the threat modeling process for secure system design.
Unofficial implementation of the DragGAN paper
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
AI NPCs that can control their actions along with dialogue. For instance, if I ask an NPC to tell me its favorite magic spell, it not only tells me the spell but also performs it!
A Chat App built with embedchain and streamlit
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
Generative AI for Semiconductor Design: Engineering Assistant built with Bedrock, Knowledge Bases and Langchain
an asynchronous service that processes file uploads, extracts text content using OCR, and interfaces with external LLM APIs to generate quizzes, flashcards, and other interactive educational content, ensuring efficient file handling and reliable data transfer to third-party AI services for real-time content generation.
Demo repository for creating a custom chatbot powered by LLMs for Telegram and Whatsapp.
A Prompt Expander OpenAI-Based.
Make your dataset talk to you. The AI assistant for data preparation.
informatiCup 2024 - Detect AI generated content, fool the AI detector, Rinse and repeat
This Gemini Repository uses Google's Gemini models to perform various tasks, and shows usage, and Project ideas for students and researchers, and this repo gives an ideas to use Google pre-trained model Gemini to make things easier.
Tool is to serve as an AI for Computer Science Papers, capable of referencing and extracting additional information
from everything import anything
A Streamlit-powered Jira assistant with MCP integration. Create, search, and manage Jira tickets through a clean tabbed interface using natural language commands or direct forms. Built with Python and MCP framework.
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