awslabs / dynamic-training-with-apache-mxnet-on-aws
Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.
☆56Updated 2 years ago
Alternatives and similar repositories for dynamic-training-with-apache-mxnet-on-aws:
Users that are interested in dynamic-training-with-apache-mxnet-on-aws are comparing it to the libraries listed below
- ☆118Updated last year
- This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud☆46Updated last year
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- MxNet to ONNX Exporter☆56Updated 6 years ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated last year
- Scripts and instructions to facilitate running Deep Learning Tasks on Amazon EMR☆63Updated last year
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆91Updated last year
- Deep learning benchmark utility and optimization tips on EKS.☆48Updated 5 years ago
- ☆24Updated 2 years ago
- Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow☆254Updated 4 years ago
- A high performance data access library for machine learning tasks☆74Updated last year
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens)…☆26Updated 6 years ago
- The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format☆37Updated 6 years ago
- Incubating project for xgboost operator☆76Updated 3 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 5 months ago
- ONNX model format support for Apache MXNet☆96Updated 5 years ago
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support☆289Updated last year
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆492Updated last year
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆63Updated 3 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- A Tutorial for Serving Tensorflow Models using Kubernetes☆87Updated 5 months ago
- MXNet Model Serving☆25Updated 7 years ago
- Re:Invent Inf1 Instance Lab☆22Updated 4 years ago
- NGC VMI Example Scripts☆23Updated 6 years ago
- ☆25Updated 6 years ago
- TensorFlow Serving benchmark☆33Updated 6 years ago