sagemaker-training-toolkit
sagemaker-distribution
| sagemaker-training-toolkit | sagemaker-distribution | |
|---|---|---|
| 1 | 1 | |
| 470 | 74 | |
| 2.8% | - | |
| 6.3 | 9.2 | |
| about 1 month ago | 2 days ago | |
| Python | Dockerfile | |
| Apache License 2.0 | Apache License 2.0 |
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sagemaker-training-toolkit
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Distributed training with Horovod/MPI
I'm using sagemaker-training-toolkit to attempt hyperparameter optimization and trying to take advantage of all the cores on each machine using their MPI options (which uses Horovod with MPI to my understanding). I'm pretty new to this space and can't find anything that describes in somewhat lay-terms how training works in this distributed model. With AllReduce, how often does the reduce happen? I'm trying to figure out if all training threads are training a shared model such that every thread is training on the "latest" version of the model.
sagemaker-distribution
What are some alternatives?
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
blender-docker-cli - :monkey_face: Blender in :whale: Docker
jina - ☁️ Build multimodal AI applications with cloud-native stack
sagemaker-tensorflow-training-toolkit - Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
oneAPI-samples - Samples for Intel® oneAPI Toolkits
torchlambda - Lightweight tool to deploy PyTorch models to AWS Lambda
sagemaker-run-notebook - Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
spotty - Training deep learning models on AWS and GCP instances
cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker