Text Classification
backprop-ai/backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
β Question Answeringπ€ Language Modelsπ§ Natural Language Processing
PythonOtherupdated May 3, 2021
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
$ git clone https://github.com/brightmart/bert_language_understanding.gitBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | ζζ¬εη±»
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An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @θ·ζε¦ζΊε¨ε¦δΉ
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Data from GitHub Β· snapshot Sep 24, 2026