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Lists (6)
Starred repositories
Lightweight coding agent that runs in your terminal
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Create agents that monitor and act on your behalf. Your agents are standing by!
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
12 Lessons to Get Started Building AI Agents
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
🦜🔗 The platform for reliable agents.
The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨
A modular graph-based Retrieval-Augmented Generation (RAG) system
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
GeoAI: Artificial Intelligence for Geospatial Data
Examples and guides for using the OpenAI API
The code for the prize winners in DrivenData competitions.
A topic-centric list of HQ open datasets.
Superagent provides purpose-trained guardrails that make AI-agents secure and compliant.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Spatial Data Science for Social Geography
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
PDFM Embeddings: location-based vectors for geo-spatial analysis.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This is a repo with links to everything you'd ever want to learn about data engineering
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Comprehensive Compilation of Real-World LLM Implementation in Financial Services
Python tool for converting files and office documents to Markdown.