KO
|
EN
gitlite — search
Search
#javascript
#python
#hacktoberfest
#react
#ai
#typescript
#llm
#go
#golang
#android
#machine-learning
#rust
#deep-learning
#linux
sagemaker
★ 8
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
Thaumic-JEI
:
No description available.
discord-vk-bot
:
Bot for connect discord and vk
TAlMech
:
A framework that contains Task Allocation Mechanisms (TAlMech) that helps to develop multirobot task allocation (MRTA) architectures.
SaveQRCodeDemo
:
Android实现支付宝个人收钱页面二维码图片保存功能
GazeboUwbSimulator
:
No description available.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
sagemaker
?
Download (.md)
# SageMaker for Scientific Computation Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. But besides streamlining the machine learning workflow, SageMaker also provides a powerful, flexible and easy to use compute environment to execute and parallelize a large spectrum of scientific computing tasks. In this notebook we demonstrate how to simulate a simple quantum system using Tensorflow together with Amazon SageMaker's Bring You Own Algorithm (BYOA) functionality. **To get started, navigate to the _sagemaker_for_sci_comp_ folder, open the notebook _Superradiance on Sagemaker.ipynb_ and follow along the steps.**
