threelittlemonkeys/cnn-classification-pytorch
CNNs for Classification in PyTorch
This tool helps researchers and data scientists classify text documents by training a deep learning model. You provide a list of sentences paired with their correct labels, and it produces a trained model that can automatically assign labels to new, unseen text. It's ideal for anyone working with textual data who needs to categorize or tag it efficiently.
No commits in the last 6 months.
Use this if you have a collection of text snippets and want to automatically sort them into predefined categories.
Not ideal if you need to extract specific entities from text or if your task involves generating new text.
Stars
21
Forks
5
Language
Python
License
—
Last pushed
Aug 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/threelittlemonkeys/cnn-classification-pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类,基于TensorFlow
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch