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jiegzhan/multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Stars
601
Forks
256
Language
Python
License
Apache-2.0
Last commit
updated Jun 2026
Slowing
cnntext-classificationkaggletensorflowrnnembeddingslstm

Straight from GitHub

Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.

Maintenance

Last push was 153 days before the stats read (as of Nov 6, 2026).

Licence

Apache-2.0

Tech stack

Primary language: Python. GitHub reports only the dominant language, so this is not the whole stack.

Install

No install command has been verified for this repo. Follow the README rather than a guess.

Quality score

Computed by the discovery import when this entry was added.

0.81out of 1.00
Recent activity×0.30
0.70

How recently the default branch was pushed to.

Adoption×0.20
0.59

Stars on a log scale, so adoption counts without dominating.

Description and topics×0.15
1.00

Whether the repo describes itself: description, topics, homepage.

README present×0.15
1.00

Whether the repository has a README at all.

Licence clarity×0.10
1.00

Whether GitHub can resolve the licence to a recognised SPDX id.

Issue health×0.10
0.80

Open issues relative to adoption, as a rough maintenance signal.

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Stats updated Nov 6, 2026. Stars, forks, issue counts, and dates are a snapshot read from the GitHub REST API, not a live figure. This site makes no requests to GitHub when you load a page.

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