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lnn's Projects

braindecode icon braindecode

A deep learning toolbox to decode raw time-domain EEG.

chaid icon chaid

A python implementation of the common CHAID algorithm

infinite-occluded-objects icon infinite-occluded-objects

Code for the paper "Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation"

learnable-deep-priors icon learnable-deep-priors

Code for the paper "Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping"

machine-learning-notes icon 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

neural-em icon neural-em

Code for the "Neural Expectation Maximization" paper.

pattern_grouping icon pattern_grouping

This is the implementation of paper "Learning to Group Discrete Graphical Patterns" by Zhaoliang Lun et al. 2017

relational-nem icon relational-nem

Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.

ssba icon ssba

Sparse Levenberg-Marquardt based non-linear least squares optimizer and bundle adjustment implementation

tagger icon tagger

Deep Unsupervised Perceptual Grouping

yard_opengl icon 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.

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