Pinned Repositories
ComOpT
ComOpT is a research tool for coverage-driven and constraint-driven testing of autonomous driving systems.
cube_demo
cube_demo
GC-Net
Geometry and Context Network
GC-Net-Tensorflow
GCNet: End-to-End Learning of Geometry and Context for Deep Stereo Regression (Tensorflow Implementation)
hello-world
new repository
keras-resnet
Residual networks implementation using Keras-1.0 functional API
L_Softmax_TensorFlow
nn-dependability-kit
Toolbox for software dependability engineering of artificial neural networks
SCU_ThesisDissertation_LaTeXTemplate
四川大学本科、硕士、博士论文LaTeX模版
slambook2
edition 2 of the slambook
K-Akechi's Repositories
K-Akechi/ComOpT
ComOpT is a research tool for coverage-driven and constraint-driven testing of autonomous driving systems.
K-Akechi/cube_demo
cube_demo
K-Akechi/GC-Net
Geometry and Context Network
K-Akechi/GC-Net-Tensorflow
GCNet: End-to-End Learning of Geometry and Context for Deep Stereo Regression (Tensorflow Implementation)
K-Akechi/hello-world
new repository
K-Akechi/keras-resnet
Residual networks implementation using Keras-1.0 functional API
K-Akechi/L_Softmax_TensorFlow
K-Akechi/nn-dependability-kit
Toolbox for software dependability engineering of artificial neural networks
K-Akechi/SCU_ThesisDissertation_LaTeXTemplate
四川大学本科、硕士、博士论文LaTeX模版
K-Akechi/slambook2
edition 2 of the slambook
K-Akechi/Stereo-Matching
K-Akechi/Thesis_OpenMax
MNIST implementation of OpenMax layer.
K-Akechi/VerifAI
VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.