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This repository contains implementations for text classification tasks using deep learning and NLP techniques. It is designed to provide a clean, reproducible workflow for building, training, and evaluating text classification models.

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๐Ÿ“‚ Text Classification Projects

A collection of text classification projects ranging from scratch implementations to advanced Transformer models.

  • Text Classification from Scratch
  • Review Classification using Active Learning
  • Text Classification using FNet
  • Large-scale Multi-label Text Classification
  • Text Classification with Transformer
  • Text Classification with Switch Transformer
  • Text Classification using Decision Forests and Pretrained Embeddings
  • Using Pre-trained Word Embeddings
  • Bidirectional LSTM on IMDB
  • Data Parallel Training with KerasHub and tf.distribute

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This repository contains implementations for text classification tasks using deep learning and NLP techniques. It is designed to provide a clean, reproducible workflow for building, training, and evaluating text classification models.

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