SLTK | 序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English | Natural Language Processing library
kandi X-RAY | SLTK Summary
kandi X-RAY | SLTK Summary
SLTK is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch applications. SLTK has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English NER测试集F1值为91.10%（word and char feature）。.
序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English NER测试集F1值为91.10%（word and char feature）。.
Support
Quality
Security
License
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Support
SLTK has a low active ecosystem.
It has 350 star(s) with 83 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
There are 10 open issues and 10 have been closed. On average issues are closed in 10 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of SLTK is current.
Quality
SLTK has 0 bugs and 0 code smells.
Security
SLTK has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
SLTK code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
SLTK does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
SLTK releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
SLTK saves you 541 person hours of effort in developing the same functionality from scratch.
It has 1267 lines of code, 80 functions and 27 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed SLTK and discovered the below as its top functions. This is intended to give you an instant insight into SLTK implemented functionality, and help decide if they suit your requirements.
- Preprocessing
- Build a word embedding table
- Load embedding embedding
- Ensure parent directory exists
- Compute negative log likelihood loss
- Score a sentence
- Forward algorithm
- Calculates the log sum of a vector
- Train model
- Get input tensors
- Calculate the loss function
- Fit the model
- Test the model
- Returns the next batch
- Infer model to file
- Generate a batch
- Read a Conllu file
- Infer the prediction
- Parse command line options
- Replace IOB tags
Get all kandi verified functions for this library.
SLTK Key Features
No Key Features are available at this moment for SLTK.
SLTK Examples and Code Snippets
No Code Snippets are available at this moment for SLTK.
Community Discussions
Trending Discussions on SLTK
QUESTION
How to make validation with the following conditions?
Asked 2019-Nov-15 at 05:33
Username : at least 5 letters and all lowercase letters Password : is a combination of 2-digit numbers followed by the symbol "@" or the symbol "&" and followed by 4 uppercase letters
Example : Username : meatball / jungernaut Password : 21@YOUR / 74&GOOD
IAM TRY
...ANSWER
Answered 2019-Nov-15 at 03:28Maybe,
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SLTK
You can download it from GitHub.
You can use SLTK like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use SLTK like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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