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Search: ai-workshop-code
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Showing 10 results from 53
AlenUbuntu/Awesome-Fashion-AI
GitHubA curated list of research papers, datasets, open-source codes, conferences, workshops related to AI for fashion and e-commerce.
External source
GitHub
manuelpsnunes/ai-for-good-agent-pathway
GitHub MIT LicenseMaster the AI agent lifecycle for social impact. This workshop moves from low-code UI in Microsoft Copilot Studio to pro-code scaling in MS Foundry, with a glimpse into multi-agent orchestration via the Microsoft Agent Framework. Designed for rapid prototyping and maximum social impact during 48-... Read more
External source
GitHub
facebookresearch/soundspaces-challenge
GitHub Python MIT LicenseStarter code for SoundSpaces challenge at CVPR 21's Embodied AI workshop
External source
GitHub
google/feabench
GitHub Python Apache License 2.0Code and data release for FEABench: Evaluating Language Models on Multiphysics Reasoning Ability. [MATH-AI workshop, NeurIPS 2024]
External source
GitHub
jxnl/ai-engineering-summit
GitHub Jupyter NotebookThis is a repository that contains the code for the AI Engineering Summit workshop
External source
GitHub
jackwener/exam-system
GitHub TypeScriptAI Coding Workshop ๅจ็บฟ่่ฏ็ณป็ป โ Next.js 16 + Redis + GLM/Claude ่ชๅจ่ฏๅ
External source
GitHub
tezansahu/building-ai-agents-with-autogen
GitHub PythonAll the hands-on code examples for my workshop "Building AI Agents with Autogen"
External source
GitHub
TheAIDojo/Workshops
GitHub Jupyter Notebook MIT LicenseThis is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.
External source
GitHub
tlarroucau/AI_workshop
GitHub TeXASU Workshop: Git, GitHub, and VS Code - Agentic AI for Project Management and Research Productivity. Complete reproducible research template with data analysis, LaTeX documents, and Makefile automation.
External source
GitHub
hokmund/cnn-tips-and-tricks
GitHub Jupyter Notebook MIT LicenseCode for AI Ukraine 2018 workshop "Tunning CNN: Tips & Tricks"
External source
GitHub
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