Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
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Updated
Nov 9, 2023 - Python
Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
CPU and GPU (using HIP) implementations of phase pattern generators for use with spatial light modulators
Repositry supporting two publications on LPBF process monitoring using acoustic emissions
Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions
In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning
LH공모전 : [오산시]어린이 교통사고 위험지역 도출 최우수(1위) Repo
Slide deck for the talk "Small Language Models - running a ChatGPT equivalent on your own laptop"
A "small" language model using Markov Chains for text generation
Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
🔌 Slm language support for VS Code.
Demonstrations of slm analysis
Lite Korean language model
Streamline mapping of landscape structure
Container for slm, slm_demo repos
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