Smart Dataset
A repository to keep tools, scripts, data for SMART task.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Simpletransformers | 3,883 |  | 2 | 27 | 6 months ago | 282 | August 07, 2023 | 77 | apache-2.0 | Python |
| Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI | ||||||||||
| Happy Transformer | 449 |  | 5 | 10 months ago | 23 | August 05, 2023 | 15 | apache-2.0 | Python | |
| Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models. | ||||||||||
| Shukongdashi | 168 | 10 months ago | 2 | HTML | ||||||
| 使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统 | ||||||||||
| Nlp_notebooks | 46 | a year ago | Jupyter Notebook | |||||||
| Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks. | ||||||||||
| Cnn Question Classification Keras | 29 | 2 years ago | 12 | Python | ||||||
| Chinese Question Classifier (Keras Implementation) on BQuLD | ||||||||||
| Verseagility | 21 | 3 years ago | 1 | mit | Jupyter Notebook | |||||
| Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production. | ||||||||||
| Covid Q | 16 | 3 years ago | Python | |||||||
| COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset" | ||||||||||
| Tebaqa | 14 | 2 years ago | 15 | agpl-3.0 | Java | |||||
| A question answering system which utilises machine learning. | ||||||||||
| Little_questions | 13 | 2 years ago | 8 | September 01, 2021 | mit | Python | ||||
| parse and classify questions | ||||||||||
| Predicting Subjective Features On Qa Websites | 11 | 2 years ago | Jupyter Notebook | |||||||
| Paper: "Predicting Subjective Features from Questions on QA Websites using BERT" | ||||||||||
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