| 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 |
| 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. |
| chakki-works/seqeval |
866 |
|
42 |
165 |
over 3 years ago |
24 |
October 24, 2020 |
23 |
mit |
Python |
| A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) |
| kermitt2/delft |
379 |
|
1 |
0 |
about 2 years ago |
21 |
November 29, 2023 |
33 |
apache-2.0 |
Python |
| a Deep Learning Framework for Text |
| XuezheMax/NeuroNLP2 |
358 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
gpl-3.0 |
Python |
| Deep neural models for core NLP tasks (Pytorch version) |
| 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. |
| JieyuZ2/wrench |
203 |
|
0 |
0 |
over 2 years ago |
4 |
April 21, 2022 |
7 |
apache-2.0 |
Python |
| [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark |
| himkt/pyner |
46 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
mit |
Python |
| 🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer. |
| fmpr/CrowdLayer |
37 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise. |
| phusroyal/ViHOS |
26 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023) |
