SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

Magic to turn Cursor/Windsurf as 90% of Devin

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

Devon: An open-source pair programmer

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.

A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.

Connect any Open Data to any LLM with Model Context Protocol.

Web search using free google search (NO API KEYS REQUIRED)

A collection of MCP servers.

An MCP server that installs other MCP servers for you

MCP server to download entire websites

Official PHP library for the Creatomate API

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Predict advertisement sales from existing customers by analyzing past purchases, customer behavior, and preferences. Use machine learning models to forecast future sales, personalize recommendation…

A data analytics project using machine learning to predict user engagement with online advertisements, enabling targeted marketing strategies and optimized ad campaigns.

Model to predict engagement score of video categories using various Regression models

Delving deep into Engagement Prediction of Short Videos (ECCV 2024)

The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom informatio…

A Python script that dynamically updates YouTube video thumbnails with real-time view counts, enhancing visual engagement and information dissemination.

An Intelligent YT CTR Bot aimed at revolutionizing YTCTR with advanced strategies and elevating engagement while preserving authenticity.

Enhance audience engagement with actionable insights,leverage positive language, prompt interaction, address negativity, tailor content, monitor metrics.

A bot that watches Youtube videos, generating 4,000 daily views and boosting engagement.

This project aims to predict various engagement metrics for YouTube videos, such as views, likes, comments, and more, based on video features and metadata. Using a dataset of YouTube videos, this p…

Exploratory Data Analysis on YouTube Data & Likes Prediction

gain insights into the factors influencing the engagement and popularity of YouTube videos

This is a complete Data Science Tutorial course with EDA, ETL, Model training and Deployment on AWS