Topictuner
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Flaml | 3,500 |  | 11 | 4 months ago | 92 | October 02, 2023 | 210 | mit | Jupyter Notebook | |
| A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. | ||||||||||
| Bert_language_understanding | 886 | 5 years ago | 9 | Python | ||||||
| Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN | ||||||||||
| Transformers Tutorials | 777 | 5 months ago | 18 | mit | Jupyter Notebook | |||||
| Github repo with tutorials to fine tune transformers for diff NLP tasks | ||||||||||
| Bert Multi Label Text Classification | 761 | a year ago | 40 | mit | Python | |||||
| This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification. | ||||||||||
| Azureml Bert | 384 | a year ago | 22 | mit | Jupyter Notebook | |||||
| End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service | ||||||||||
| Adaptnlp | 371 | 2 years ago | 23 | April 17, 2020 | 7 | apache-2.0 | Jupyter Notebook | |||
| An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models. | ||||||||||
| Bert4doc Classification | 353 | 3 years ago | 12 | apache-2.0 | Python | |||||
| Code and source for paper ``How to Fine-Tune BERT for Text Classification?`` | ||||||||||
| Sentimentanalysis | 260 | 2 years ago | 2 | mit | Python | |||||
| Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank. | ||||||||||
| Kogpt2 Finetuning | 212 | 10 months ago | 2 | apache-2.0 | Python | |||||
| 🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥 | ||||||||||
| Bert Attributeextraction | 185 | 5 years ago | 2 | Python | ||||||
| USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。 | ||||||||||
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