CodeZen
一个专注中文区的 GitHub 项目发现
所有语言
C
C#
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CSS
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Jupyter Notebook
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Shell
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synthetic-personality-dataset
Synthetic dataset and notebooks for introvert vs. extrovert personality modeling (privacy-safe, ML-ready).
amazon-bedrock-agentcore-samples
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
syncora-benchmarks
A lightweight, plug‑and‑play benchmark kit for synthetic data. Compare Syncora against other generators (e.g., Gretel, MostlyAI) by dropping in CSVs, then auto‑compute fidelity and similarity metrics. Works with any dataset via simple file naming no heavy setup needed.
synthetic-credit-default-syncora
High-fidelity synthetic dataset for credit default modeling
OmniGen2
OmniGen2: Exploration to Advanced Multimodal Generation.
agents-towards-production
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
Seed1.5-VL
Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.
AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
gemini-fullstack-langgraph-quickstart
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
perception_models
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
agents
Repo for the Complete Agentic AI Engineering Course