BERT-BiLSTM-CRF-NER and BERT-NER-TF
Both tools offer TensorFlow-based solutions for BERT-NER, making them direct competitors for users implementing Named Entity Recognition with BERT.
About BERT-BiLSTM-CRF-NER
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Implements a production-ready NER pipeline combining BERT embeddings with BiLSTM-CRF sequence tagging, optimized for Chinese text processing but adaptable to other languages through minimal code changes. Features a deployable server architecture with Flask/gRPC support for both NER and text classification tasks, enabling real-time inference via client-server interaction. Includes pre-trained model checkpoints and handles complete workflows from dataset preparation through model freezing and serving, with configurable label schemas and sequence length parameters.
About BERT-NER-TF
kamalkraj/BERT-NER-TF
Named Entity Recognition with BERT using TensorFlow 2.0
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work