50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A High-Quality Real Time Upscaler for Anime Video
- anime
- upscaling
- upsampling
- video-processing
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
💿 Free software that works great, and also happens to be open-source Python.
Data and code behind the articles and graphics at FiveThirtyEight
- data
A scikit-learn compatible neural network library that wraps PyTorch
Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
- dependency-graph
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
- agentic-ai
- ai-agents
- langchain
- langgraph
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
- face
- siggraph-asia
- style-transfer
- stylegan2
A small package to create visualizations of PyTorch execution graphs
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
- ai-text-to-speech-tools
- ai-rapper-voice-generator
- ai-singing-voice-generator
- ai-voice-changers
Automatic Generation of Visualizations and Infographics using Large Language Models
- datavisualization
- llm
- openai
- visualization
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
- cypher
- data-analysis
- graph-database
- neo4j
We are building an open database of COVID-19 cases with chest X-ray or CT images.
- covid-19
- deep-learning
- computer-vision
- dataset