Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / evz-aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/evz-aws%2Famazon-sagemaker-examples
Fork of aws/amazon-sagemaker-examples
Stars: 0
Forks: 0
Open Issues: 0
License: apache-2.0
Language: Jupyter Notebook
Repo Size: 394 MB
Dependencies:
75
Created: almost 3 years ago
Updated: 7 months ago
Last pushed: almost 3 years ago
Last synced: 7 months ago
Files
Dependencies
- alpine 3.6 build
- openjdk 8u171-jre-alpine build
- alpine 3.6 build
- 520713654638.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-tensorflow ray0.5.3-${CPU_OR_GPU}-py3 build
- 520713654638.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-mxnet coach0.11.0-${CPU_OR_GPU}-py3 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-0.8.5-${FRAMEWORK}-${CPU_OR_GPU}-py36 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-0.8.2-tf-${CPU_OR_GPU}-py36 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-coach-container coach-1.0.0-tf-cpu-py3 build
- 462105765813.dkr.ecr.${AWS_REGION}.amazonaws.com/sagemaker-rl-ray-container ray-0.8.5-tf-${CPU_OR_GPU}-py36 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
- python 3.6 build
- continuumio/miniconda3 latest build
- sagemaker-training ==3.4.1
- transformers ==4.7.0
- sagemaker ==2.15.0
- boto3 ==1.16.24
- 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 *
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 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
- 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
- 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 16.04 build
- 763104351884.dkr.ecr.us-east-1.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
- tensorflow/tensorflow 1.8.0-py3 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- ubuntu 16.04 build
- tensorflow/tensorflow latest-py3 build
- tensorflow/tensorflow $VERSION build
- ubuntu 16.04 build
- rapidsai/rapidsai 0.15-cuda11.0-base-ubuntu18.04-py3.7 build
- public.ecr.aws/u6k6n4j8/r-base latest build
- ubuntu 18.04 build