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GitHub / raghupalem / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
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Fork of aws/amazon-sagemaker-examples
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Forks: 0
Open Issues: 0
License: apache-2.0
Language:
Repo Size: 468 MB
Dependencies:
115
Created: about 2 years ago
Updated: 10 months ago
Last pushed: about 2 years ago
Last synced: 10 months ago
Files
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Readme
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Dependencies
- ubuntu 18.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
advanced_functionality/distributed_tensorflow_mask_rcnn/container-optimized-script-mode/Dockerfile
docker
- 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training 1.15.2-gpu-py36-cu100-ubuntu18.04 build
- 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training 1.15.2-gpu-py36-cu100-ubuntu18.04 build
- 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training 1.15.2-gpu-py36-cu100-ubuntu18.04 build
advanced_functionality/distributed_tensorflow_mask_rcnn/container-serving-optimized/Dockerfile
docker
- 763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training 1.15.2-gpu-py36-cu100-ubuntu18.04 build
- nvidia/cuda 9.0-cudnn7-devel-ubuntu16.04 build
- nvidia/cuda 11.1-cudnn8-devel-ubuntu18.04 build
- ubuntu 18.04 build
- 763104351884.dkr.ecr.${region}.amazonaws.com/pytorch-training 1.5.1-cpu-py36-ubuntu16.04 build
- 520713654638.dkr.ecr.$REGION.amazonaws.com/sagemaker-pytorch 0.4.0-cpu-py3 build
- ubuntu 18.04 build
- tensorflow/tensorflow 1.8.0-py3 build
- ubuntu 18.04 build
- ubuntu 18.04 build
- tensorflow/tensorflow 1.8.0-py3 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- python 3.7-slim-buster build
- tensorflow/tensorflow latest-py3 build
- tensorflow/tensorflow $VERSION build
- ubuntu 16.04 build
- rapidsai/rapidsai 21.06-cuda11.0-base-ubuntu18.04-py3.7 build
- public.ecr.aws/u6k6n4j8/r-base latest build
- r-base 3.6.3 build
- r-base 3.6.3 build
- r-base 3.6.3 build
- alpine 3.6 build
- openjdk 8u171-jre-alpine build
- alpine 3.6 build
- 520713654638.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-mxnet coach0.11.0-${CPU_OR_GPU}-py3 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-1.6.0-${FRAMEWORK}-${CPU_OR_GPU}-${SUFFIX} build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-1.6.0-${FRAMEWORK}-${CPU_OR_GPU}-${SUFFIX} build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-1.6.0-tf-${CPU_OR_GPU}-py37 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-coach-container coach-1.0.0-tf-cpu-py3 build
- tensorflow/tensorflow 2.2.0rc2-py3-jupyter build
- ubuntu 18.04 build
- continuumio/miniconda latest build
- decision_tree latest build
- continuumio/miniconda latest build
- continuumio/miniconda3 latest build
- ubuntu 16.04 build
- nvidia/cuda 10.2-cudnn7-runtime-ubuntu18.04 build
- python 3.6 build
- continuumio/miniconda3 latest build
- ubuntu 18.04 build
- sagemaker-training ==3.4.1
- nltk *
- rouge_score *
- transformers ==4.7.0
environment.yml
pypi
- nbsphinx ==0.8.7
- prompt-toolkit ==2.0.10
- sagemaker *
- sphinx-rtd-theme ==1.0.0
- boto3 ==1.16.24
- matplotlib *
- numpy *
- pandas *
- streamlit *
- gluoncv ==0.10.4.post4
- gluonnlp ==0.8.3
- Cython ==0.29.6
- gluoncv ==0.8.0
- mpi4py ==3.0.3
- pybind11 ==2.4.3
- pycocotools *
- Cython ==0.29.6
- gluoncv ==0.8.0
- mpi4py ==3.0.3
- pybind11 ==2.4.3
- pycocotools *
- transformers ==4.15.0