Infotopopy

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
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It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
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Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
Pisac39
a year ago1apache-2.0Python
Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
Information Dropout34
7 years ago2otherPython
Implementation of Information Dropout
Information Bottleneck20
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demonstration of the information bottleneck theory for deep learning
Unsupervisedattentionmechanism19
2 years agoJupyter Notebook
Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
Infotopopy17
2 years ago11October 11, 2020otherPython
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Deep Bottleneck17
4 years ago11otherJupyter Notebook
Repository of the Study Project "Understanding learning in deep neural networks with the help of information theory"
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