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activationfunctiondemo

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

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:

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.

binary-cnn

This code binary and train the output of the neural network .

binary-cov

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

cs-dismo

Code for paper "Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement"

cxk

嘘，不要问！我也不清楚这些是啥…

dis_lib

google dis_lib

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

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dockerfile

The DockerFile of OpenPAI

five-valued-cnn

This code make the output of the neural network five-valued and trained.

four-valued-cnn

This code make the output of the neural network and trained

googleplatform

Test, Test, Test!!!

groupified-vae

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

joint-vae-visdom

lenet

a small pro

m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

origin

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

poetic-image

software engineering team project

pro

it's a test

rf-vae

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

self-conditioned-gan

Diverse Image Generation via Self-Conditioned GANs

ternary-cnn

This code ternary the output of the neural networks.

test

test_front

asana

thomasmry

thomasmry.github.io

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.