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University of Turku
- Finland
- https://www.linkedin.com/in/vigneashpandiyan/
- https://orcid.org/0000-0001-6043-5696
- @vigneashpandiya
Highlights
- Pro
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Python Updated
Dec 5, 2024 -
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
Python UpdatedMay 21, 2024 -
Classification of progressive wear on a multi-directional pin-on-disc tribometer simulating conditions in human joints - UHMWPE against CoCrMo using Acoustic Emission and Machine Learning
Python UpdatedFeb 8, 2024 -
Additive-Manufacturing-Domain-adaptation-for-Bridging-Dissimilar-Process-Maps-Acoustic-Emission Public
Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions
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Real-Time Monitoring and Quality Assurance for Laser-Based Directed Energy Deposition: Integrating Coaxial Imaging and Self-Supervised Deep Learning Framework
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Machine-Learning-in-Materials-Science Public
Forked from SergeiVKalinin/MSE_Fall2023The materials for the Fall ML in Materials course at the Tickle College of Engineering at the University of Tennessee at the University of Tennessee, Knoxville
Jupyter Notebook UpdatedDec 11, 2023 -
Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
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Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable …
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Deep-learning-Koopango-IPS Public
Forked from codecraze01/Deep-learning-Koopango-IPSJupyter Notebook MIT License UpdatedAug 22, 2023 -
Monitoring of direct energy deposition process using deep-net based manifold learning and co-axial melt pool imaging
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Repositry supporting two publications on LPBF process monitoring using acoustic emissions
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Neural_Koopman_pooling Public
Forked from Infinitywxh/Neural_Koopman_pooling[CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
Python MIT License UpdatedMay 25, 2023 -
Neural-Koopman-Lyapunov-Control Public
Forked from Vrushabh27/Neural-Koopman-Lyapunov-ControlNeural Koopman Lyapunov Control
Jupyter Notebook UpdatedMay 5, 2023 -
udkm1Dsim Public
Forked from dschick/udkm1DsimA Python Simulation Toolkit for 1D Ultrafast Dynamics in Condensed Matter
Python MIT License UpdatedApr 19, 2023 -
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DeepKoopmanLusch Public
Forked from mlpotter/DeepKoopmanLuschPyTorch Implementation of Lusch et al DeepKoopman
Python UpdatedJan 5, 2023 -
course-content-dl Public
Forked from NeuromatchAcademy/course-content-dlNMA deep learning course
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CA-TCC Public
Forked from emadeldeen24/CA-TCCSelf-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Python UpdatedDec 5, 2022 -
Long short-term memory based semi-supervised encoder-decoder for early prediction of failures in self-lubricating bearings
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Semi-supervised monitoring of laser powder bed fusion process based on acoustic emissions
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Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
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Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
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In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning
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CoST Public
Forked from salesforce/CoSTPyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Python BSD 3-Clause "New" or "Revised" License UpdatedJul 9, 2022 -
PyTorch-VAE Public
Forked from AntixK/PyTorch-VAEA Collection of Variational Autoencoders (VAE) in PyTorch.
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PyTorch-PDQN-for-Digital-Twin-ACS Public
Forked from jiaxiang-cheng/PyTorch-PDQN-for-Digital-Twin-ACSPyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimizat…
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deep-learning-for-indentation Public
Forked from lululxvi/deep-learning-for-indentationExtraction of mechanical properties of materials through deep learning from instrumented indentation
Python Apache License 2.0 UpdatedMar 16, 2022 -
datafold Public
Forked from datafold-dev/datafoldKoopman operator: learning dynamical systems | Diffusion Maps: Describing geometry in point clouds.
Python MIT License UpdatedFeb 24, 2022