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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.

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.

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

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

Audience

Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources

Audience

IT teams looking for a platform to write exploits, analyze malware, and reverse engineer binary files

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/

Company Information

Immunity Debugger
Founded: 2002
United States
www.immunityinc.com/products/debugger/

Alternatives

Alternatives

weinre

weinre

Apache Software Foundation

Categories

AI Infrastructure Supported
Debugging Supported
Machine Learning Supported

Categories

Debugging Supported
Malware Analysis Supported

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
TensorFlow Supported

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
TensorFlow Not Supported
Claim Amazon SageMaker Debugger and update features and information
Claim Amazon SageMaker Debugger and update features and information
Claim Immunity Debugger and update features and information
Claim Immunity Debugger and update features and information