python

Generate summaries from texts using Streamlit & HuggingFace Pipeline

📊 ETL pipeline for YouTube competitor analytics. Orchestrated with Airflow, Docker, and AWS. Features sentiment analysis and a Power BI dashboard.

Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.

chap - A Python interface to chatgpt, including a terminal user interface (tui)

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Empower Truly Autonomous AI Agents through our Experimental Adversarial and Evolutionary Reinforcement Learning Framework. Join our Community: https://t.me/evolveRL_portal

This repo contains almost everything about Generative Ai

KoutenDB: locality-aware NoSQL document/vector database built around rings and orbit-inspired retrieval

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

Add different kinds of data: Youtube videos, PDFs, Internet links and ask questions based on the content provided using an intuitive UI.

The Facial Recognition Based Attendance System is an automated solution designed to streamline attendance management in educational institutions. By utilizing advanced facial recognition technology, the system eliminates manual attendance processes, reduces proxy attendance, and provides real-time attendance tracking with comprehensive reporting .

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

A clean, modular implementation of an Agentic RAG (Retrieval-Augmented Generation) system built with a production-ready architecture.

Forest Fire Detection By Convolutional Neural Network

Programmable automated machine learning - proof of concept

Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️

Steps to building your first LLM chatbot

Model-independent sketch-to-image studies: seed scouting, controlled variation, replayable manifests, and a zero-download local tour.

Fine-tuning a quantized Llama 2 chat model on Q&A pairs from counselchat.com to provide empathetic and appropriate mental health advice

huggingface.co/chat api. Fixed stream response & web search.