Yadlapalli Avinash ricky

AviGPT-250M

World's First 250M Small Language Model with a Native NVMe Hardware Memory Bus. 100% Factual Retrieval, 100% Math Precision, #1 Composite Efficiency (0.40). Architect: Yadlapalli Avinash Ricky.

Python • 3 stars

CaptchaOCR-500K

A large-scale CAPTCHA OCR dataset containing 500,000 CAPTCHA images for Optical Character Recognition (OCR) research and model training.

Python • 1 star

writ

Writ: An AI agent skill that catches AI writing tells and clichés using a self-edit checklist drawn from Wikipedia's Signs of AI Writing guide.

28 stars

AviGPT

Decoupling neural reasoning from parametric memory via a 1.18ms NVMe SSD hardware bus. 183M transformer core, 0.4GB RAM footprint, zero-shot disk writes, and deterministic calculation.

Python • 2 stars

Advanced-Youtube-Seo-Generator

The Advanced YouTube SEO Generator is a Python script that optimizes YouTube video SEO by leveraging the YouTube Data API. It offers recommendations to enhance video titles, descriptions, tags, and hashtags, aiming to improve discoverability and engagement on the platform.

Python • 23 stars

Advanced-Youtube-Seo-Generator-2.0

Advanced YouTube SEO Generator 🚀 Unleash the full potential of your YouTube channel with our Advanced YouTube SEO Generator! This powerful tool helps you craft the perfect titles, descriptions, tags, and hashtags to boost your video visibility and engagement. Whether you're a content creator or a digital marketer, this tool is designed to elevate

Python • 11 stars

Extract-Facebook-Posts

This project automates the extraction of engagement metrics such as likes, comments, and shares from Facebook posts. It supports both single and bulk post extraction using Selenium, enabling efficient and scalable data collection for performance analysis

Python

Facebook-Reels-Metrics-Extractor

A Python-based lightweight automation tool that extracts **engagement metrics (likes, comments, shares)** from **Facebook Reels** using Selenium. It simulates human-like browsing behavior to safely log in, visit Reels URLs, and collect data for analysis.

Python