Highlights
- Pro
Stars
Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.
Production-ready platform for agentic workflow development.
Give Cursor Agent an AI Team and Advanced Skills
A powerful tool for creating fine-tuning datasets for LLM
"Your Fully-Automated Personal AI Assistant"
ai-generated apps , full stack + generative UI
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
An Agentic Deep Research Assistant similar to Gemini and OpenAI Deep Research
👾 A Python API wrapper for Poe.com. With this, you will have free access to GPT-4, Claude, Llama, Gemini, Mistral and more! 🚀
This project is a collection of Python scripts used for scraping annuity data from different websites. Each website has its own folder, which contains the relevant Python scripts used to gather inf…
🦜🔗 The platform for reliable agents.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, a…
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
A Python Library for Graph Outlier Detection (Anomaly Detection)
Lightweight and Fast Feature Store Powered by Go (and Rust).
Parquet-based ML data format optimized for working with unstructured data
Behavioral "black-box" testing for recommender systems
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Distributed Asynchronous Hyperparameter Optimization in Python
A game theoretic approach to explain the output of any machine learning model.
A scalable machine learning library on Apache Spark
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning