Where Is The Answer
FastText based Question Answering System for Turkish Stories
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gensim | 15,180 |  | 2,371 | 766 | 18 days ago | 93 | August 24, 2023 | 405 | lgpl-2.1 | Python |
| Topic Modelling for Humans | ||||||||||
| Text_classification | 7,628 | 7 months ago | 45 | mit | Python | |||||
| all kinds of text classification models and more with deep learning | ||||||||||
| Nlp_ability | 4,337 | 2 years ago | 1 | Python | ||||||
| 总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力 | ||||||||||
| Pytorch Sentiment Analysis | 4,133 | 3 months ago | 3 | mit | Jupyter Notebook | |||||
| Tutorials on getting started with PyTorch and TorchText for sentiment analysis. | ||||||||||
| Nlper Interview | 1,746 | 2 years ago | 3 | |||||||
| 该仓库主要记录 NLP 算法工程师相关的面试题 | ||||||||||
| Keras Textclassification | 1,641 | 5 months ago | 9 | December 19, 2020 | 1 | mit | Python | |||
| 中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN | ||||||||||
| Magnitude | 1,542 | 2 years ago | 37 | mit | Python | |||||
| A fast, efficient universal vector embedding utility package. | ||||||||||
| Nlp | 1,128 | 4 years ago | 4 | Python | ||||||
| 兜哥出品 <一本开源的NLP入门书籍> | ||||||||||
| Pytorchtext | 959 | 6 years ago | 6 | mit | Python | |||||
| 1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案) | ||||||||||
| Bert_language_understanding | 886 | 5 years ago | 9 | Python | ||||||
| Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN | ||||||||||
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