| 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 |
| aws/deep-learning-containers |
881 |
|
0 |
0 |
about 2 years ago |
0 |
|
126 |
other |
Python |
| AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. |
| zepingyu0512/srnn |
459 |
|
0 |
0 |
over 7 years ago |
0 |
|
13 |
|
Python |
| sliced-rnn |
| awslabs/amazon-sagemaker-workshop |
359 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more |
| aws/sagemaker-tensorflow-training-toolkit |
253 |
|
0 |
0 |
over 3 years ago |
65 |
December 06, 2022 |
10 |
apache-2.0 |
Python |
| Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers. |
| awslabs/deeplearning-cfn |
244 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
other |
Python |
| Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow |
| aws-samples/amazon-sagemaker-local-mode |
220 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit-0 |
Python |
| Amazon SageMaker Local Mode Examples |
| arrigonialberto86/deepar |
212 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
mit |
Python |
| Tensorflow implementation of Amazon DeepAR |
| awslabs/sagemaker-debugger |
155 |
|
0 |
0 |
over 2 years ago |
297 |
October 23, 2023 |
88 |
apache-2.0 |
Python |
| Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors |
| aws-samples/amazon-sagemaker-script-mode |
141 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.) |
