View source for AI portfolio of reference implementations


The '''CircularTwain  portfolio of AI reference implementations''', presents a non-exhausting list of reference AI implementations, as identified from the project’s partners and which have found to be relevant to the project's scope and activities.

This portfolio is anticipated to be improved and evolve continuously throughout the CircularTwain project’s implementation, in order to record and describe further new AI implementations. 
An initial categorisation has been made based on the applicable domain/industry, these implementations refer to. Further information on their description, type, AI breadth, related technologies, license information, etc.are provided in each implementation's dedicated page. 

'''A)	Manufacturing'''

[[A.1: AI REGIO Supervised Learning for Multivariant Time Series Forecasting]]

[[A.2: AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing]]

[[A.3: AI REGIO Intelligent Computer Vision for Digital Twin]]

[[A.4: AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement]]

[[A.5: AI REGIO - Supervised real-time 2D-based Object Detection System]]

[[A.6: AI REGIO Industrial Faults Predictive Maintenance (IFPM)]]

[[A.7: RL4MachineTuning]]

[[A.8: Time prediction for flexible manufacturing]]

[[A.9: LioNets on Time Series]]

[[A.10: HIRIT]]

[[A.11: DFDD]]

[[A12: McDefect Solutions]]


'''B)	WEEE & Battery'''

[[B.1: Isaac Sim]]

[[B.2: Dexnet]]

[[B.3: YOLO: image detection architectures]]

[[B.4: NVIDIA kaolin tools and resources]]

[[B.5: PointNet++]]

[[B.6: ROS Noetic]]

[[B.7: RoboGraph]]

[[B.8: Jupyddl]]


'''C)	Research'''

[[C.1: JGNN Graph Neural Networks on Native Java]]	
 
[[C.2: Decentralized-gnn]]

[[C.3: Locally Private Graph Neural Networks]]

[[C.4: Hugging Face]]

[[C.5: SHapley Additive exPlanation (SHAP)]]

[[C.6: DeepLIFT]]

[[C.7: EthicalML]]


'''D)	All/Smart industry'''

[[D.1: AutoML]]

[[D.2: DIDA (Digital Industries Data Analytics)]]

[[D.3: Auto-Weka]]

[[D.4: ML.NET]]