| aws/amazon-sagemaker-examples |
9,221 |
|
0 |
0 |
about 2 years ago |
0 |
|
894 |
apache-2.0 |
Jupyter Notebook |
| Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. |
| tirthajyoti/Data-science-best-resources |
2,718 |
|
0 |
0 |
about 2 years ago |
0 |
|
7 |
mit |
|
| Carefully curated resource links for data science in one place |
| aws/sagemaker-python-sdk |
1,994 |
|
14 |
76 |
about 2 years ago |
554 |
November 30, 2023 |
272 |
apache-2.0 |
Python |
| A library for training and deploying machine learning models on Amazon SageMaker |
| elsamuko/Shirt-without-Stripes |
638 |
|
0 |
0 |
over 4 years ago |
0 |
|
8 |
|
Shell |
| State of AI |
| AmazingDD/daisyRec |
496 |
|
0 |
0 |
about 3 years ago |
16 |
August 14, 2022 |
0 |
mit |
Python |
| This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies. |
| aws-samples/amazon-forecast-samples |
456 |
|
0 |
0 |
about 3 years ago |
0 |
|
22 |
mit-0 |
Jupyter Notebook |
| Notebooks and examples on how to onboard and use various features of Amazon Forecast. |
| rjurney/Agile_Data_Code_2 |
435 |
|
0 |
0 |
about 3 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition |
| aws/sagemaker-training-toolkit |
430 |
|
0 |
3 |
over 2 years ago |
74 |
October 31, 2023 |
44 |
apache-2.0 |
Python |
| Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker. |
| aws/sagemaker-inference-toolkit |
336 |
|
3 |
4 |
over 2 years ago |
48 |
October 25, 2023 |
39 |
apache-2.0 |
Python |
| Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker. |
| aws/sagemaker-spark |
285 |
|
2 |
0 |
over 2 years ago |
36 |
August 26, 2022 |
34 |
apache-2.0 |
Scala |
| A Spark library for Amazon SageMaker. |
