Transformers Tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Scikit Learn Videos | 3,180 | 3 years ago | Jupyter Notebook | |||||||
| Jupyter notebooks from the scikit-learn video series | ||||||||||
| Mlr | 1,609 | 65 | 40 | 10 months ago | 24 | September 29, 2022 | 12 | other | R | |
| Machine Learning in R | ||||||||||
| Transformers Tutorials | 777 | 4 months ago | 18 | mit | Jupyter Notebook | |||||
| Github repo with tutorials to fine tune transformers for diff NLP tasks | ||||||||||
| Pytorch_fine_tuning_tutorial | 226 | 6 years ago | 3 | Python | ||||||
| A short tutorial on performing fine tuning or transfer learning in PyTorch. | ||||||||||
| Deeplabv3finetuning | 49 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
| Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch. | ||||||||||
| Kobart Chatbot | 26 | 3 years ago | 1 | Python | ||||||
| KoBART chatbot | ||||||||||
| Kogpt2 Sagemaker | 14 | 4 years ago | other | Jupyter Notebook | ||||||
| Tutorial to show how to deploy KoGPT2 model to Amazon SageMaker at scale, and how to fine-tune KoGPT2 model for downstream NLP tasks | ||||||||||
| Ep2017_tutorial_tune_performance | 12 | 7 years ago | mit | Jupyter Notebook | ||||||
| Tutorial files and code the EuroPython 2017 tutorial, "A Hands-On Approach to Tuning Python Applications for Performance". | ||||||||||
| User2020 | 11 | 4 years ago | cc0-1.0 | |||||||
| Material for the useR2020 tutorial | ||||||||||
| Sagemaker Tensorflow Tutorial | 10 | 6 years ago | Jupyter Notebook | |||||||
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