🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Models and examples built with TensorFlow

scikit-learn: machine learning in Python

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

keras implement of transformers for humans

Real time interactive streaming digital human

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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 sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN,…

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

常用文本匹配模型tf版本，数据集为QA_corpus，持续更新中

Transformer-based models implemented in tensorflow 2.x(using keras).