Awesome-PyTorch-Chinese | Dry goods ] The most complete collection

by INTERMT Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | Awesome-PyTorch-Chinese Summary

Awesome-PyTorch-Chinese is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. Awesome-PyTorch-Chinese has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However Awesome-PyTorch-Chinese build file is not available. You can download it from GitHub.

[Dry goods] The most complete collection of PyTorch learning resources in history

Support

Quality

Security

License

Reuse

Support

Awesome-PyTorch-Chinese has a medium active ecosystem.

It has 3522 star(s) with 765 fork(s). There are 97 watchers for this library.

It had no major release in the last 6 months.

Awesome-PyTorch-Chinese has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Awesome-PyTorch-Chinese is current.

Quality

Awesome-PyTorch-Chinese has 0 bugs and 0 code smells.

Security

Awesome-PyTorch-Chinese has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Awesome-PyTorch-Chinese code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Awesome-PyTorch-Chinese is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Awesome-PyTorch-Chinese releases are not available. You will need to build from source code and install.

Awesome-PyTorch-Chinese has no build file. You will be need to create the build yourself to build the component from source.

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Awesome-PyTorch-Chinese Key Features

No Key Features are available at this moment for Awesome-PyTorch-Chinese.

Awesome-PyTorch-Chinese Examples and Code Snippets

SpanBERT for Chinese Coreference Resolution (Pytorch)

Python

Lines of Code : 26

License : No License

Copy

│ conll.py
│ coreference.py
│ demo.py
│ metrics.py
│ utils.py
│ experiments.conf
│ requirements.txt
│
├─bert
│ │ modeling.py
│ │ optimization.py
│ │ tokenization.py
│ 
├─conll-2012
│ └─scorer
│ ├─reference-coreference-scorers
│ └─v8.01
├─data
│ ├─dev

Joint_NLU Chinese,Usage

Python

Lines of Code : 17

License : No License

Copy

python3 tain_and_test.py

Slot Prediction       :  ['B-金额', 'O', 'O', 'O']
Intent Truth          :  开通流量
Intent Prediction     :  开通流量
Intent accuracy for epoch 4: 0.8425925925925926
Slot accuracy for epoch 4: 0.9632771300764675
Slot F1 score for epo

Chinese Whispers for Python

Python

Lines of Code : 10

License : Permissive (MIT)

Copy

from chinese_whispers import chinese_whispers
chinese_whispers(G, weighting='top', iterations=20)

# Write karate_club.tsv (just as example)
python3 -c 'import networkx as nx; nx.write_weighted_edgelist(nx.karate_club_graph(), "karate_club.tsv", deli

Community Discussions

No Community Discussions are available at this moment for Awesome-PyTorch-Chinese.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Awesome-PyTorch-Chinese

You can download it from GitHub.
You can use Awesome-PyTorch-Chinese 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 .

Find more information at: