| fastnlp/fastNLP |
2,940 |
|
0 |
2 |
almost 3 years ago |
24 |
October 31, 2022 |
62 |
apache-2.0 |
Python |
| fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation. |
| kermitt2/grobid |
2,749 |
|
9 |
2 |
about 2 years ago |
1 |
August 05, 2015 |
384 |
apache-2.0 |
Java |
| A machine learning software for extracting information from scholarly documents |
| koth/kcws |
2,044 |
|
0 |
0 |
almost 8 years ago |
0 |
|
44 |
|
C++ |
| Deep Learning Chinese Word Segment |
| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| Hironsan/anago |
1,428 |
|
5 |
1 |
about 4 years ago |
14 |
July 17, 2018 |
43 |
mit |
Python |
| Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on. |
| baidu-research/NCRF |
731 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| Cancer metastasis detection with neural conditional random field (NCRF) |
| PRBonn/lidar-bonnetal |
443 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving |
| liu-nlper/NER-LSTM-CRF |
325 |
|
0 |
0 |
almost 8 years ago |
0 |
|
6 |
|
Python |
| An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow. |
| zhongkaifu/RNNSharp |
272 |
|
0 |
0 |
over 5 years ago |
0 |
|
18 |
bsd-3-clause |
C# |
| RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others. |
| swabhs/open-sesame |
215 |
|
0 |
0 |
almost 4 years ago |
0 |
|
15 |
apache-2.0 |
Python |
| A frame-semantic parsing system based on a softmax-margin SegRNN. |
