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Search: ai-workshop-code
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Showing 10 results from 53
IBM/granite-workshop
GitHub Jupyter Notebook Apache License 2.0Source code for the IBM Granite AI Model Workshop
External source
GitHub
coleam00/ai-coding-summit-workshop-2
GitHubExercises and resources for the AI Coding Summit 2026 workshop: Advanced Claude Code Techniques for 2026. A hands-on two-hour workshop on the PIV Loop (Plan, Implement, Validate) for agentic coding.
External source
GitHub
Yorko/gender-unbiased_BERT-based_pronoun_resolution
GitHub Jupyter Notebook Apache License 2.0Source code for the ACL workshop paper and Kaggle competition by Google AI team
External source
GitHub
alexa/dstqa
GitHub Python OtherCode for Li Zhou, Kevin Small. Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. In NeurIPS 2019 Workshop on Conversational AI
External source
GitHub
aihpi/workshop-time-series
GitHub Jupyter Notebook GNU General Public License v3.0Code for the AI@HPI Workshop series "Time Series Forecasting"
External source
GitHub
A-Halimi/Introduction-to-AI-workshop-series
GitHub Jupyter Notebook MIT LicenseIntroduction to AI Workshop Series Welcome to our comprehensive series on getting started with Artificial Intelligence (AI). This repository is dedicated to providing materials, notebooks, slides, and code samples for our three primary workshops: Introduction to Machine Learning; Introduction to... Read more
External source
GitHub
wineslab/ORANSlice
GitHub C GNU General Public License v3.0Source code for the paper "ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN," in Proceding of ACM Workshop on Open and AI RAN, ACM MobiCom'24, Nov 2024.
External source
GitHub
coleam00/ai-coding-summit-workshop
GitHub TypeScriptExercises and resources for the AI Coding Summit Context Engineering remote workshop!
External source
GitHub
Jjateen/AIOT-Workshop
GitHub Jupyter Notebook MIT LicenseThis repository contains resources, including circuit diagrams, code, and project files from the IoTics AIoT Workshop, focusing on integrating Artificial Intelligence (AI) with the Internet of Things (IoT). It features hands-on projects exploring sensor integration, cloud services, machine learni... Read more
External source
GitHub
TU-Delft-AI-Energy-Lab/Workshop_AI_for_Intelligent_Energy_Systems
GitHub Jupyter NotebookAI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications of NLP/LLM, GNNS and RL in Energy Systems. The code labs in workshop have been provided for interested students and researchers.
External source
GitHub
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