Pinned Repositories
DEye
Keep an Eye on Defects Inspection.
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
gitskills
lamb
LAnguage Modelling Benchmarks
learngit
libxml2
Read-only mirror of https://gitlab.gnome.org/GNOME/libxml2
Lithium-ion-battery-Degradation-Analysis-using-LSTM
The understanding of the aging mechanism is crucial to predict the state-of-health of lithium-ion batteries (LIBs), a LIBs is developed to investigate the evolution of internal parameters, and a degradation model which can be used for predicting the calendar life of the battery is developed.
Saliency-detection-toolbox
This is a Saliency detection toolbox Specially designed for surface defect detection.
SoH_estimation_of_Lithium-ion_battery
State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM
Surface-Defect-Detection
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
keithchn's Repositories
keithchn/Lithium-ion-battery-Degradation-Analysis-using-LSTM
The understanding of the aging mechanism is crucial to predict the state-of-health of lithium-ion batteries (LIBs), a LIBs is developed to investigate the evolution of internal parameters, and a degradation model which can be used for predicting the calendar life of the battery is developed.
keithchn/Saliency-detection-toolbox
This is a Saliency detection toolbox Specially designed for surface defect detection.
keithchn/DEye
Keep an Eye on Defects Inspection.
keithchn/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
keithchn/gitskills
keithchn/lamb
LAnguage Modelling Benchmarks
keithchn/learngit
keithchn/libxml2
Read-only mirror of https://gitlab.gnome.org/GNOME/libxml2
keithchn/SoH_estimation_of_Lithium-ion_battery
State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM
keithchn/Surface-Defect-Detection
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.