text_classification and Text-Classification-Pytorch

These are competitors offering overlapping implementations of neural text classification models in PyTorch, where the second repository provides more comprehensive model variety and has significantly greater community adoption despite both having zero monthly downloads.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 9/25
Community 25/25
Stars: 7,950
Forks: 2,546
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 818
Forks: 234
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About text_classification

brightmart/text_classification

all kinds of text classification models and more with deep learning

Implements 12+ deep learning architectures (TextCNN, BiLSTM, Transformer, Dynamic Memory Networks, Entity Networks) with unified interfaces for single and multi-label classification tasks. Supports casting classification as sequence generation via seq2seq models, and includes boosting ensembles that progressively focus on mislabeled examples. Built on TensorFlow with pre-processed datasets and HDF5 caching for efficient training on millions of samples.

About Text-Classification-Pytorch

prakashpandey9/Text-Classification-Pytorch

Text classification using deep learning models in Pytorch

Scores updated daily from GitHub, PyPI, and npm data. How scores work