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ActivationFunctionDemo
[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”VCT
[NeurIPS 2022] code for "Visual Concepts Tokenization"Groupified-VAE
[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"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.origin
This code is for generating the parameters before multi-value operation.DockerFile
The DockerFile of OpenPAIPoetic-Image
software engineering team projectbinary-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:Love Open Source and this site? Check out how you can help us