idec's People
Forkers
akbari59 isenilov allenmujie aikozhao mldl cnglen ttgump tandychao jgraving lumiqai renke2 papercoming duolinwang codes-kzhan chenjunjie1994 xujiaming1997 skrapit sushantjha8 saurabh11baghel kapitsa2811 lumik7 wrccrwx xiaoyeye1117 liuwujijay howardchina nbahti scutzck033 phymucs kairat100 khaledroid baohq1595 fulong98 sunnyhuma171 chruilin rymc createrll caovanloi bupt-yxy amin-golzari-oskouei silviamariamacri jiangzqyw haustcvpr2020 sagechang2020 jmoriatyidec's Issues
Problems with 'dim'
Nice work i have seen the DEC model too and read IDEC paper but i am having some issues in this IDEC code since i want to see how much approved result i get from same dataset of 20_Newsgroup which i have trained on DEC. But using it on IDEC i am getting this error:
self.n_stacks = self.dims - 1
TypeError: unsupported operand type(s) for -: 'list' and 'int'
And that error makes sense too since 'dims' is a list and we are assigning 'n_stacks' which is an integer by subtracting a list. So it should give type error. But i cannot understand the purpose of this n_stacks as i could not find in paper too please help me as soon as you can.
Thanks,
EDIT: Sorry . It was my mistake i made many changes to original code and that was something from those changes. But now code runs perfectly. Thanks again.
Layer model_1 expects 1 input(s), but it received 2 input tensors
I'm trying to convert the code into python3 and eras 2.6.0 and getting this error.
ValueError: Layer model_1 expects 1 input(s), but it received 2 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(32, 28, 28) dtype=uint8>, <tf.Tensor 'ExpandDims:0' shape=(32, 1) dtype=uint8>]
Return values of cluster_acc(Y_pred, Y) function
Thanks for your work and sharing! There is an error on cluster_acc(Y_pred, Y) function, as
from sklearn.utils.linear_assignment_ import linear_assignment
is depreciated with updated scikit-learn version.
Unsupervised model?
Hello. First of all, I appreciate your wonderful work.
I have one question. How can I implement as unsupervised version?
I think application part is only for the supervised learning with label.
How to set the 'update interval' variable?
Thanks for your work and sharing! I have carefully read your paper and code, but I have a big doubt.
- Is there any basis for setting the 'update interval' variable? Why do different datasets correspond to different values? How should I analyze the appropriate values for my own dataset? Can you give me an explanation?
- About the Autoencoder, what you mean in the paper is that the autoencoder with noise is only used during the pre-training stage, whereas in the IDEC training or testing stage, the autoencoder is only used with undercomplete structure and no noise is added. I want to make sure, do I have an exact understanding?
Thank you so much!
Visualization of clustering results
hello, how to visualize the clustering results in your paper?Thank you.
REUTERS data not available
Hi!
I've tried to download REUTERS data with the get_data.sh script you have provided, but it seems the files are not available there anymore. Do you how I could get that data?
Thank you very much in advance!
usps dataset url invalid?
hello,usps dataset url is invalid ,I can't find it after I serach in google, can you upload it or send it to me ?
Thank you !
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.