Pinned Repositories
ActivationFunctionDemo
[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”
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.
DisCo
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
DisDiff
[NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Groupified-VAE
[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
origin
This code is for generating the parameters before multi-value operation.
Poetic-Image
software engineering team project
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.
VCT
[NeurIPS 2022] code for "Visual Concepts Tokenization"
ThomasMrY's Repositories
ThomasMrY/DisDiff
[NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
ThomasMrY/VCT
[NeurIPS 2022] code for "Visual Concepts Tokenization"
ThomasMrY/ActivationFunctionDemo
[TCAD 2018] Code for “Design Space Exploration of Neural Network Activation Function Circuits”
ThomasMrY/Groupified-VAE
[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
ThomasMrY/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.
ThomasMrY/RF-VAE
Pytorch implementation of RF_VAE proposed in Relevance Factor VAE: Learning and Identifying Disentangled Factors, Kim et al.
ThomasMrY/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.
ThomasMrY/DisCo
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
ThomasMrY/origin
This code is for generating the parameters before multi-value operation.
ThomasMrY/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:
ThomasMrY/binary-cov
This code binary the output of the convolution layer of CNN and train and prune the parameters.
ThomasMrY/CS-DisMo
Code for paper "Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement"
ThomasMrY/DockerFile
The DockerFile of OpenPAI
ThomasMrY/Poetic-Image
software engineering team project
ThomasMrY/ternary-cnn
This code ternary the output of the neural networks.
ThomasMrY/binary-cnn
This code binary and train the output of the neural network .
ThomasMrY/cxk
嘘，不要问！我也不清楚这些是啥…
ThomasMrY/dis_lib
google dis_lib
ThomasMrY/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
ThomasMrY/five-valued-cnn
This code make the output of the neural network five-valued and trained.
ThomasMrY/four-valued-cnn
This code make the output of the neural network and trained
ThomasMrY/GooglePlatform
Test, Test, Test!!!
ThomasMrY/joint-vae-visdom
ThomasMrY/leNet
a small pro
ThomasMrY/M-ADA
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
ThomasMrY/self-conditioned-gan
Diverse Image Generation via Self-Conditioned GANs
ThomasMrY/test
ThomasMrY/test_front
asana
ThomasMrY/ThomasMrY
ThomasMrY/ThomasMrY.github.io