all kinds of text classification models and more with deep learning
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Updated
Sep 28, 2023 - Python
all kinds of text classification models and more with deep learning
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Opensource Korean chatbot framework
About Muti-Label Text Classification Based on Neural Network.
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型
top 1% solution to toxic comment classification challenge on Kaggle.
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.
PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Sentence Classifications with Neural Networks
LSTM-based Models for Sentence Classification in PyTorch
Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
A tensorflow implementation of Convolutional Neural Networks for Sentence Classification
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
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