Aws Summit 2017 Seoul
Demo codes in our presentation about MXNet in AWS Seoul Summit 2017
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gluonts | 4,288 |  | 16 | 8 days ago | 107 | December 07, 2023 | 385 | apache-2.0 | Python | |
| Probabilistic time series modeling in Python | ||||||||||
| Sagemaker Python Sdk | 1,994 |  | 14 | 76 | 3 months ago | 554 | November 30, 2023 | 272 | apache-2.0 | Python |
| A library for training and deploying machine learning models on Amazon SageMaker | ||||||||||
| Deep Learning Containers | 881 | 3 months ago | 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. | ||||||||||
| Deeplearning Cfn | 244 | 4 years ago | 6 | other | Python | |||||
| Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow | ||||||||||
| Mxnet Lambda | 127 | 6 years ago | 7 | apache-2.0 | Python | |||||
| Reference Lambda function that predicts image labels for a image using an MXNet-built deep learning model. The repo also has pre-built MXNet, OpenCV libraries for use with AWS Lambda. | ||||||||||
| Machine Learning Using K8s | 121 | 5 years ago | 7 | apache-2.0 | ||||||
| Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS | ||||||||||
| Aws Ai Bootcamp Labs | 107 | 6 years ago | apache-2.0 | Jupyter Notebook | ||||||
| This library holds a collection of Notebooks and code examples for AWS AI Bootcamps. | ||||||||||
| Timeseries | 83 | 6 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
| Deep Learning repo for timeseries and sequence data | ||||||||||
| Aws Panorama Samples | 79 | 5 months ago | 13 | mit-0 | Python | |||||
| This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK | ||||||||||
| Sagemaker Mxnet Training Toolkit | 60 | 4 years ago | 28 | September 14, 2020 | 3 | apache-2.0 | Python | |||
| Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers. | ||||||||||
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