Amazon SageMaker DebuggerAmazon
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Related Products
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About
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.
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About
Immunity Debugger's interfaces include the GUI and a command line. The command line is always available at the bottom of the GUI. It allows the user to type shortcuts as if they were in a typical text-based debugger, such as WinDBG or GDB. Immunity has implemented aliases to ensure that your WinDBG users do not have to be retrained and will get the full productivity boost that comes from the best debugger interface on the market. Python commands can also be run directly from our command bar. Users can go back to previously entered commands, or just click in the dropdown menu and see all the recently used commands. Immunity Debugger's interfaces include the GUI and a command line. The command line is always available at the bottom of the GUI. It allows the user to type shortcuts as if they were in a typical text-based debugger, such as WinDBG or GDB.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources
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Audience
IT teams looking for a platform to write exploits, analyze malware, and reverse engineer binary files
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/
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Company InformationImmunity Debugger
Founded: 2002
United States
www.immunityinc.com/products/debugger/
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Categories |
Categories |
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Integrations
AWS Lambda
Supported
Amazon CloudWatch
Supported
Amazon SageMaker
Supported
Amazon SageMaker Studio
Supported
Amazon SageMaker Unified Studio
Supported
Amazon Web Services (AWS)
Supported
Change Healthcare Data & Analytics
Supported
Keras
Supported
MXNet
Supported
PyTorch
Supported
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Integrations
AWS Lambda
Not Supported
Amazon CloudWatch
Not Supported
Amazon SageMaker
Not Supported
Amazon SageMaker Studio
Not Supported
Amazon SageMaker Unified Studio
Not Supported
Amazon Web Services (AWS)
Not Supported
Change Healthcare Data & Analytics
Not Supported
Keras
Not Supported
MXNet
Not Supported
PyTorch
Not Supported
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