Pinned Repositories
Android-App-Campus-Package-Agent-Platform
share a request on timeline asking someone else on campus to collect packages for you
braindecode
A deep learning toolbox to decode raw time-domain EEG.
CHAID
A python implementation of the common CHAID algorithm
Dangerous-Approaching-Alarm-System
The system alerts the parents when the distance between the child and the danger zone is less than the safe distance.
gluon-tutorials-zh
通过 MXNet / Gluon 来动手学习深度学习
Gluon_DL
get hands dirty to learn DL
Img_Folder
This is a folder for storing pictures.
infinite-occluded-objects
Code for the paper "Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation"
panoramic-video-stitching
Yard_OpenGL
This is a realistic 3D scene in Visual Studio with the OpenGL library, which contains multiple 3D objects with lighting, texture effects, and interactive scene roaming.
AhiGan's Repositories
AhiGan/Yard_OpenGL
This is a realistic 3D scene in Visual Studio with the OpenGL library, which contains multiple 3D objects with lighting, texture effects, and interactive scene roaming.
AhiGan/Android-App-Campus-Package-Agent-Platform
share a request on timeline asking someone else on campus to collect packages for you
AhiGan/Dangerous-Approaching-Alarm-System
The system alerts the parents when the distance between the child and the danger zone is less than the safe distance.
AhiGan/Gluon_DL
get hands dirty to learn DL
AhiGan/Img_Folder
This is a folder for storing pictures.
AhiGan/panoramic-video-stitching
AhiGan/braindecode
A deep learning toolbox to decode raw time-domain EEG.
AhiGan/CHAID
A python implementation of the common CHAID algorithm
AhiGan/gluon-tutorials-zh
通过 MXNet / Gluon 来动手学习深度学习
AhiGan/infinite-occluded-objects
Code for the paper "Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation"
AhiGan/learnable-deep-priors
Code for the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping"
AhiGan/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
AhiGan/MachineLearninginAction_Python3
the code for the book 《Machine Learning in Action》
AhiGan/Neural-EM
Code for the "Neural Expectation Maximization" paper.
AhiGan/noteForOpenGL
OpenGL学习脚印配套代码
AhiGan/pattern_grouping
This is the implementation of paper "Learning to Group Discrete Graphical Patterns" by Zhaoliang Lun et al. 2017
AhiGan/PyLift
AhiGan/Relational-NEM
Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
AhiGan/SSBA
Sparse Levenberg-Marquardt based non-linear least squares optimizer and bundle adjustment implementation
AhiGan/tagger
Deep Unsupervised Perceptual Grouping
AhiGan/TensorFlow-Practice
The practice code about tensorflow