| justmarkham/scikit-learn-videos |
3,180 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Jupyter notebooks from the scikit-learn video series |
| mlr-org/mlr |
1,609 |
|
65 |
40 |
almost 3 years ago |
24 |
September 29, 2022 |
12 |
other |
R |
| Machine Learning in R |
| abhimishra91/transformers-tutorials |
777 |
|
0 |
0 |
over 2 years ago |
0 |
|
18 |
mit |
Jupyter Notebook |
| Github repo with tutorials to fine tune transformers for diff NLP tasks |
| Spandan-Madan/Pytorch_fine_tuning_Tutorial |
226 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| A short tutorial on performing fine tuning or transfer learning in PyTorch. |
| msminhas93/DeepLabv3FineTuning |
49 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch. |
| haven-jeon/KoBART-chatbot |
26 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
|
Python |
| KoBART chatbot |
| aws-samples/kogpt2-sagemaker |
14 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
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 |
| triskadecaepyon/ep2017_tutorial_tune_performance |
12 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorial files and code the EuroPython 2017 tutorial, "A Hands-On Approach to Tuning Python Applications for Performance". |
| mlr-org/user2020 |
11 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Material for the useR2020 tutorial |
| radix-ai/sagemaker-tensorflow-tutorial |
10 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
