Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

A text classification example with Bert/ELMo/GloVe in pytorch

A PyTorch implementation of Compositional Coding Capsule Network based on PRL 2022 paper "Compositional Coding Capsule Network with K-Means Routing for Text Classification"

nlp text classification task with bert and pytorch on IMDB dataset

A Streamlit app running GPT-2 language model for text classification, built with Pytorch, Transformers and AWS SageMaker.

A text classifier fine tuned on pre-trained BERT for Sarcasm Detection in News Headlines (PyTorch Implementation)

Efficient text classification with Pytorch

Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)

🔮Getting Started with Pytorch: Text Classification Tutorial

Convolutional Neural Network (CNN) for text classification implemented with PyTorch and TorchText

A text classification and similairty computing project in Python.We have tried wordbag,word2vec,WordMoverDistance,N-gram,LSTM,C-LSTM, LSTM with attention .etc.LSTM with attention(completed in Pytorch) turns out to be the best in out news title dataset.

A text classification demo using pytorch and C++ libtorch with textRNN model

VisualBERT implementation using Huggingface and PyTorch-Lightning for memes classification with the use of both text and images

[ICME2024] Official PyTorch implementation for the paper: "Multi-Attentional Distance for Zero-Shot Classification with Text-to-Image Diffusion Model"

Deep Learning for text classification with Torchtext, PyTorch & FastAI

Dialogflow ChatBot with LIME explanations and PyTorch backend for text classification.

PyTorch implementation of the Gated Attention Network for text classification. Comparison of the model with BiLSTM and soft attention models using IMDb and TREC dataset.

Fine-tuning google's BERT model on text classification for sentiment analysis with pytorch and keras

First, format a few shot text classification dataset.Second, replement some of few-shot-learning model with pytorch.Finally, run experiment with text classification dataset on the reimplemented model.

Template for developing Deep Learning based project with PyTorch for Text Classification

BERT Text Classification Framework: Implements 7 BERT variants (including BERTATT/BERTLSTM/BERTCNN) with PyTorch and Transformers./BERT文本分类框架：基于PyTorch和Transformers实现7种BERT变体模型（含BERTATT/BERTLSTM/BERTCNN等）

In this project textual as well as visual features are used to classify image documents. OCR is implemented to get text data from image documents then BERT model is used for text embedding. After this Hierarchical Attention Network HAN with word and sentence attention along with GRU (Gated Recurrent Unit ) is used to classify documents. Second we have done simple image classification on our documents using only visual features. After training both models individually on training data we checked our models performance on test set. We got vectors from both models, combine them and used this vector to classify our documents.The idea is taken from currently published research paper known as "Efficient multi ti modal Document Image Classifier for Scarce Data" (January,2022) at https://www.mdpi.com/2076-3417/12/3/1457. Pytorch and Keras are the main deep learning frameworks that are used in this project.

Text classification with PyTorch and torchtext

English text classification with pytorch, including TextCNN, FastText, DPCNN, TextRNN and Transformer.

Deep learning project on practical implementation of text generation and text classification pipelines with PyTorch and Hugging Face using RNNs, LSTMs, GRUs, and Transformers.

Character-level text classification models with pytorch

Text-classification-nlp-pytorch is used for exploring text classification methods with pytorch.

Text emotion classification with pytorch. Project of [Introduction to AI]

A repository to store code in text classification with Pytorch