mgong2 / da_infer Goto Github PK
View Code? Open in Web Editor NEWDomain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
In the digits experiments, 20,000 paired images are sampled from the training set for each dataset. But the syn_digits dataset only contain 10000 samples in SYN_DIGITS_train.pt. Is there any solution?
Error happened in line 80 of code_digits/train.py:
ValueError: Cannot take a larger sample than population when 'replace=False'
In code_digits/twin_ac_launch_mnist_mnist.sh, the setting includes:
--source_dataset svhn,mnist_m,mnist,syn_digits --target_dataset svhn.
It seems that target domain svhn's labels are used while training (see line 283 and 354 in train.py). Is there any mistakes?
If there is any implementations to exclude labels of svhn while training, please tell me. Thank you.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.