Starred repositories
Real time interactive streaming digital human
DAG-SQL-Builder is an editor that helps data developers write complex SQL. It advocates using DAG (Directed acyclic graph) to combine simple SQL to build complex SQL, Through this approach, you wil…
【❤️ 互联网大厂技术分享PPT 👍🏻 持续更新中！】🍻各大技术交流会、活动资料汇总 ，如 👉QCon👉全球运维技术大会 👉 GDG 👉 全球技术领导力峰会👉大前端大会👉架构师峰会👉敏捷开发DevOps👉OpenResty👉Elastic，欢迎 PR / Issues
StableLM: Stability AI Language Models
Implementation of BiLSTM-CRF in TF2.0 for Name-Entity-Recognition (NER)
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.
Models and examples built with TensorFlow
A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
scikit-learn: machine learning in Python
keras implement of transformers for humans
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
Transformer-based models implemented in tensorflow 2.x(using keras).
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
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,…
《Natural Language Processing with PyTorch》中文翻译
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials