Popular GitHub Repositories for Complex Structures

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Represent, send, store and search multimodal data

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

A delightful Ruby way to work with AI. No configuration madness, no complex callbacks, no handler hell – just beautiful, expressive Ruby code.

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Simplifying reinforcement learning for complex game environments

A program that provides LLMs with the ability to complete complex tasks using plugins.

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

Profile-Based Long-Term Memory for AI Applications

[GenAI Application Development Framework] ? Build GenAI application quick and easy ? Easy to interact with GenAI agent in code using structure data and chained-calls syntax ? Use Agently Workflow to manage complex GenAI working logic ? Switch to any model without rewrite application code