Fastsk
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Textclf | 217 | 9 months ago | 8 | mit | Python | |||||
| TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。 | ||||||||||
| Mnist Baselines | 45 | 5 years ago | mit | Python | ||||||
| Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project | ||||||||||
| Cail2018 Toy | 22 | 2 years ago | 1 | Jupyter Notebook | ||||||
| The final teamwork of data mining course, CAIL-2018 competition. NOTE: this is just quite SIMPLE and TRIVIAL code. | ||||||||||
| Fastsk | 13 | 3 years ago | 3 | May 04, 2021 | apache-2.0 | Python | ||||
| Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/ | ||||||||||
| Naive Bayes Svm | 10 | 4 years ago | Python | |||||||
| This code reproduces performance of the NB-SVM on the IMDB reviews from the paper: Sida Wang and Christopher D. Manning: Baselines and Bigrams: Simple, Good Sentiment and Topic Classification; ACL 2012. http://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf | ||||||||||
| Congd Baseline Method | 6 | 8 years ago | apache-2.0 | C | ||||||
| This is the source code of the baseline method of ConGD, a large-scale continous gesture dataset. | ||||||||||
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