ThomasMrY/Groupified-VAE

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MIT License
Created over 3 years ago
Updated almost 2 years ago

ThomasMrY/Groupified-VAE

ThomasMrY

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[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"

ActivationFunctionDemo

[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”

VCT

[NeurIPS 2022] code for "Visual Concepts Tokenization"

ASE-Pair-Programing-Project

How is the 26-letter frequency of English distributed in a novel? What are the words that often appear in a type of article? What is the most commonly used term for a writer? What is the most commonly used phrase in Harry Potter, and so on. We will write some procedures to solve this problem and satisfy our curiosity.

RF-VAE

Pytorch implementation of RF_VAE proposed in Relevance Factor VAE: Learning and Identifying Disentangled Factors, Kim et al.

ThomasNotes

This is a repository of my own learning notes, also could be a tutorial. I will I will continue to update this new repository, which may include machine learning, deep learning, probability theory, information theory, pytorch, tensorflow, and some learning materials from numpy, which may be partially non-original but could be useful.

Jupyter Notebook

origin

This code is for generating the parameters before multi-value operation.

ternary-cnn

This code ternary the output of the neural networks.

DockerFile

The DockerFile of OpenPAI

Poetic-Image

software engineering team project

binary-cov

This code binary the output of the convolution layer of CNN and train and prune the parameters.

Anotool

The "Anotool" is a demo for labeling multi-attribute object labels for images, with hierarchical attributes and objects, which is the anotation tool of the dataset and the paper: