#自然语言处理#all kinds of text classification models and more with deep learning
#自然语言处理#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 contact@unitary...
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
About Muti-Label Text Classification Based on Neural Network.
#计算机科学#Opensource Korean chatbot framework
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
#自然语言处理#multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
#自然语言处理#A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI 
)
Sentence Classifications with Neural Networks
#自然语言处理#The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
😉 🌀 🍓 TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).
#自然语言处理#Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
#自然语言处理#PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
#自然语言处理#top 1% solution to toxic comment classification challenge on Kaggle.
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.
#自然语言处理#Extracting scientific claims from biomedical abstracts (powered by AllenNLP)
CNN for intent classification task in a Chatbot
#自然语言处理#LSTM-based Models for Sentence Classification in PyTorch
A tensorflow implementation of Convolutional Neural Networks for Sentence Classification