A suite of tools for text preparation, vectorization and processing for deep learning with Keras.
MIT License
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Published by mikkokotila about 4 years ago
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
A ๐ง๐ฒ๐ ๐ ๐๐บ๐ผ๐๐ถ๐ผ๐ป ๐๐น๐ฎ๐๐๐ถ๐ณ๐ถ๐ฒ๐ฟ is an AI model that analyzes text to detect and classify emotions like ...
Utilities for preprocessing text for deep learning with Keras
Discover relevant information about categorical data with entity embeddings using Neural Networks...
A deep learning project for sentiment analysis on tweets, classifying them into positive, negativ...
Deep learning codes and projects using Python
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Provide an input CSV and a target field to predict, generate a model + code to run it.
A curated list of dedicated resources and applications
A collection of Audio and Speech pre-trained models.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Create...
Text Classification Library in Keras
Easily train your own text-generating neural network of any size and complexity on any text datas...
ไธญๆ้ฟๆๆฌๅ็ฑปใ็ญๅฅๅญๅ็ฑปใๅคๆ ็ญพๅ็ฑปใไธคๅฅๅญ็ธไผผๅบฆ๏ผChinese Text Classification of Keras NLP, multi-label classify, or sen...