AI4Finance-Foundation / FinRL

FinRL®: Financial Reinforcement Learning. 🔥

NirDiamant / RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

alirezadir / AIMLInterviews

A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more

microsoft / ai-agents-for-beginners

18 Lessons to Get Started Building AI Agents

patchy631 / ai-engineering-hub

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

NirDiamant / GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

AccumulateMore / CV

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

NirDiamant / agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

stefan-jansen / machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

GoogleCloudPlatform / generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

ed-donner / agents

Repo for the Complete Agentic AI Engineering Course

oracle-devrel / oracle-ai-developer-hub

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

GiovanniPasq / agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

mongodb-developer / GenAI-Showcase

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

bragai / bRAG-langchain

Everything you need to know to build your own RAG application

Nixtla / nixtla

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

hemansnation / AI-Engineer-Headquarters

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

MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials

Multi-agent systems, memory, planning, reasoning loops

loveunk / deep-learning-llm-agent-notes

机器学习、深度学习的学习路径及知识总结

datawhalechina / deepagents-in-action

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

genieincodebottle / generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

GoogleCloudPlatform / asl-ml-immersion

Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.

a2aproject / a2a-samples

Samples using the Agent2Agent (A2A) Protocol

microsoft / CyberBattleSim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

onestardao / WFGY

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

microsoft / edgeai-for-beginners

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

NirDiamant / Controllable-RAG-Agent

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

microsoft / TextWorld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

benman1 / generative_ai_with_langchain

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

NirDiamant / Agent_Memory_Techniques

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

curiousily / AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

limouren2000 / llms-dev-study

小李的大模型应用开发学习路线，涵盖 RAG、Agent、面试八股与论文速读。

calmrocks / ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

leoncuhk / awesome-quant-ai

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.

towardsai / ragbook-notebooks

Repository for the "Building LLMs for Production" book by Towards AI.

deepset-ai / haystack-cookbook

👩🏻‍🍳 A collection of example notebooks using Haystack

xbsheng / atguigu-note

AI 课程笔记：langchain / langgraph / python / vibe coding

zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Akun-python / autumn-recruitment

Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。

Nicolepcx / harness_engineering

This is the corresponding code for the O'Reilly book: Harness Engineering

Yunfan-Wang / Scalable-Agentic-Market-Simulator

SAMS - Scalable Agentic Market Simulator, a next gen AI finance automation paradigm, suitable for high frequency scenario while built for continuous learning and more sophisticated market simulation.

FareedKhan-dev / agentic-knowledge-graph

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.

om-ai-lab / VLX-VR

SDK to use VLX-VR: An Agentic-Aware Video Reasoning Model

svhari / AAI_primer

Agentic AI Promer

walkinglabs / self-improving-agent-notebook

Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.

Harrypatria / Agentic-AI-Masterclass-Handbook-Usecases-Convergeni

Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.

RichmondAlake / agent_harness_course

Technical companion to the O'Reilly Harness Engineering for AI Agents workshop

yuxiangh383 / rl-interval-estimation

Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.

Vivekgupta98 / ai-workshop

Agentic AI workshop on my YT :D

aaron-the-warrior / get_started_with_agent_development_kit_adk

Taller práctico de Google Agent Development Kit (ADK) con Gemini, MCP y multi-agentes

letyrodridc / eci-2026-agentes-ia

—