fine-tuned BERT and scikit-learn models for real-time classification of disaster-related tweets, using TensorFlow, Keras, and Transformers. .
A curated list of dedicated resources and applications
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
A deep learning project for sentiment analysis on tweets, classifying them into positive, negativ...
A Keras-based and TensorFlow-backend NLP Models Toolkit.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
transformers implement (architecture, task example, serving and more)
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Create...
[UNMAINTAINED] Automated machine learning for analytics & production
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Sentence Reconstruction using Transformer Model
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sen...
This repository presents a Python-based implementation of the Transformer architecture on Keras T...