juditacs / deep-morphology Goto Github PK
View Code? Open in Web Editor NEWPyTorch deep learning models for experiments in morphology
License: MIT License
PyTorch deep learning models for experiments in morphology
License: MIT License
__len__
: first dimension of the first matrixSome parameters are duplicated.
If the encoder and the decoder has a different hidden size, the hidden state should be projected. Should it be projected even if they're the same size?
Similar to train_many
but no randomness.
Python. It allows creating configurations in a flexible way.
Take a base configuration and override certain parameters. Should be implemented as a generator function. A single Python file which defines this generator should be the parameter of the runner script..
Used in many places, move it to a common class.
Subclasses of BaseDataset
should only implement printing one sample, not the whole dataset.
Some of the neural modules take a config object, others take parameters separately. This should be more consistent, for example
config.yaml
Hi
Can't run toy example as there are no toy.yaml in root/config and root/data dir.
Are these in an earlier PR / diff repo? Ta
This is the case for defaults. It should be the case for those read from config.yaml
Currently Luong's attention with a projection matrix is the only attention variant supported. Should I add more variants?
this should be handled by the `CUDA_VISIBLE_DEVICES˙ shell variable.
Many errors, fix them.
Run toy training for every model.
examples: commit hash, random seed
Be careful not to break train_replica
Add debug switch. Only print a warning if there are modifications in the working directory.
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.