Pinned Repositories
BigDataApplication2023
cNN-DP
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
cNN-DP_deprecated
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Experiments
Computational experiments for my research
KRISO-June-Test
MyDockerfile
RecurDynPython
RecurDyn automation with Python and ProcessNet
ROS-SLAM-AppleSilicon
ROS with Turtlebot3 SLAM Simulation installation for Apple Silicon (M1, M2) users
segment-anything-fine-tuning
Fine-tuning SAM using PASCAL VOC dataset
TimeSeriesSeq2Seq
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch
hyeonbeenlee's Repositories
hyeonbeenlee/segment-anything-fine-tuning
Fine-tuning SAM using PASCAL VOC dataset
hyeonbeenlee/TimeSeriesSeq2Seq
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch
hyeonbeenlee/RecurDynPython
RecurDyn automation with Python and ProcessNet
hyeonbeenlee/ROS-SLAM-AppleSilicon
ROS with Turtlebot3 SLAM Simulation installation for Apple Silicon (M1, M2) users
hyeonbeenlee/cNN-DP
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
hyeonbeenlee/BigDataApplication2023
hyeonbeenlee/cNN-DP_deprecated
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
hyeonbeenlee/Experiments
Computational experiments for my research
hyeonbeenlee/KRISO-June-Test
hyeonbeenlee/MyDockerfile
hyeonbeenlee/ROS-Final-Project-2023
hyeonbeenlee/TeX-MyResume
My Curriculum Vitae