Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

A simple introduction to Kafka, the stream-processing platform

Python data repo, jupyter notebook, python scripts and data.

The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, …

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

This repository contains the Hugging Face Agents Course.

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

AI Agent 开发实战

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

langchain学习笔记，包含langchain源码解读、langchain中使用中文模型、langchain实例等。

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

Text2SQL Engine with advanced RAG

A curated PostgreSQL knowledge base covering internals, DBA practices, performance tuning, troubleshooting, ecosystem insights, and real-world production cases.

Unified framework for building enterprise RAG pipelines with small, specialized models

AI agent expert in PostgreSQL

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc

This project, "Detecting Anomaly in ECG Data Using AutoEncoder with PyTorch," focuses on leveraging an LSTM-based Autoencoder for identifying irregularities in ECG signals. It employs PyTorch to tr…

一路走来收藏的电子书

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

An AI Agent powered by OpenAI Responses API that helps detect anomalies in the procure to pay process through a single API call

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Anomaly Detection using LSTM Autoencoder (Tensorflow)

Deep learning-based outlier/anomaly detection

Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering