| flairNLP/flair |
13,369 |
|
24 |
69 |
about 2 years ago |
31 |
October 28, 2023 |
65 |
other |
Python |
| A very simple framework for state-of-the-art Natural Language Processing (NLP) |
| jiesutd/NCRFpp |
1,862 |
|
0 |
0 |
almost 4 years ago |
1 |
March 16, 2022 |
5 |
apache-2.0 |
Python |
| NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. |
| microsoft/NeuronBlocks |
1,439 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
mit |
Python |
| NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego |
| LiyuanLucasLiu/LM-LSTM-CRF |
830 |
|
0 |
0 |
almost 4 years ago |
0 |
|
18 |
apache-2.0 |
Python |
| Empower Sequence Labeling with Task-Aware Language Model |
| threelittlemonkeys/lstm-crf-pytorch |
454 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
Python |
| LSTM-CRF in PyTorch |
| XuezheMax/NeuroNLP2 |
358 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
gpl-3.0 |
Python |
| Deep neural models for core NLP tasks (Pytorch version) |
| modelscope/AdaSeq |
295 |
|
0 |
0 |
over 2 years ago |
11 |
November 15, 2023 |
19 |
apache-2.0 |
Python |
| AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models |
| liu-nlper/SLTK |
294 |
|
0 |
0 |
over 7 years ago |
0 |
|
8 |
|
Python |
| 序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER测试集F1值为91.10%(word and char feature)。 |
| hellohaptik/multi-task-NLP |
269 |
|
0 |
0 |
about 4 years ago |
0 |
|
13 |
apache-2.0 |
Python |
| multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks. |
| ZhixiuYe/HSCRF-pytorch |
261 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
|
Python |
| ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038) |