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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Description

Deleaker is a powerful tool that detects memory leaks in C++,.NET and Delphi. It integrates seamlessly with Visual Studio and RAD Studio. It also works as a stand-alone app. Deleaker can identify and fix leaks such as memory leaks and GDI leaks. It also handles leaks in real-time. Debugging is easier with an intuitive interface, detailed reports and precise stack traces. Deleaker is a great tool for any project, big or small. It ensures that your software is efficient and leak-free.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Lambda Yes 
Amazon CloudWatch Yes 
Amazon SageMaker Yes 
Amazon SageMaker Studio Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
C++Builder No 
Change Healthcare Data & Analytics Yes 
Delphi No 
Keras Yes 
MXNet Yes 
PyTorch Yes 
Qt Creator No 
TensorFlow Yes 
Visual Studio No 

Integrations

AWS Lambda No 
Amazon CloudWatch No 
Amazon SageMaker No 
Amazon SageMaker Studio No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
C++Builder Yes 
Change Healthcare Data & Analytics No 
Delphi Yes 
Keras No 
MXNet No 
PyTorch No 
Qt Creator Yes 
TensorFlow No 
Visual Studio Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$149
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/debugger/

Vendor Details

Company Name

Softanics

Founded

2004

Country

Kyrgyzstan

Website

www.deleaker.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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