l2w | Official Repo for Learning to Write | Machine Learning library
kandi X-RAY | l2w Summary
kandi X-RAY | l2w Summary
l2w is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. l2w has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However l2w build file is not available. You can download it from GitHub.
The Official Repo for "Learning to Write with Cooperative Discriminators"
The Official Repo for "Learning to Write with Cooperative Discriminators"
Support
Quality
Security
License
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Support
l2w has a low active ecosystem.
It has 57 star(s) with 15 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of l2w is current.
Quality
l2w has 0 bugs and 0 code smells.
Security
l2w has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
l2w code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
l2w is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
l2w releases are not available. You will need to build from source code and install.
l2w has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 2076 lines of code, 69 functions and 33 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed l2w and discovered the below as its top functions. This is intended to give you an instant insight into l2w implemented functionality, and help decide if they suit your requirements.
- Train the model
- Generator for tokens
- Evaluate the model
- Sets the target
- Decode the prediction
- Calculate the log probabilities of sequences
- Compute the next k features
- Forward computation
- Embed a sequence
- Perform the forward computation
- Calculate the log probability for the model
- Calculate the loss of a model
- Remap the given target
- Forward embeddings
- Embed a vector
- Forward embedding
- Embedding a vector
- Decode a sequence of tokens
- Remove punctuation
- Randomly shuffle a list
- Adds a word to the vocabulary
Get all kandi verified functions for this library.
l2w Key Features
No Key Features are available at this moment for l2w.
l2w Examples and Code Snippets
No Code Snippets are available at this moment for l2w.
Community Discussions
Trending Discussions on l2w
QUESTION
How to trigger button by pressing enter in Angular 9
Asked 2020-Jul-29 at 07:09
ANSWER
Answered 2020-Jul-27 at 13:03Yes, you should add HostListener Attribute for detecting key press events:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install l2w
The base language model and all discriminators use the same vocabulary, so we have to build it ahead of time.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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