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Starred repositories
Measure and optimize the energy consumption of your AI applications!
GenAI Series - RAG, Fine tuning, Agents, Knowledge Graph
A minimal implementation of GraphRAG, designed to quickly prototype whether you're able to get good sense-making out of a large dataset with creation of a knowledge graph.
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…
Local LLM Graph RAG: from PDF to Neo4J to LLM (Python | LangChain | Neo4J | Ollama)
A knowledge graph RAG app using LangChain and Neo4j.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Software to implement GoT with a weviate vectorized database
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Python package 'dgpsi' for deep and linked Gaussian process emulations
A python package from Ordnance Survey, designed to make data from the OS Data Hub APIs readily accessible to developers.
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
A very basic, very brittle proof of concept for an AI assistant for geospatial search
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
Free Weather Forecast API for non-commercial use
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A network-based python package to understand and model urban complexity
A Python library to design & optimize Supply Chains
Deep Learning Fundamentals -- Code material and exercises
NMA deep learning course
Task-based end-to-end model learning in stochastic optimization
Python version of CLIMADA