Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon SageMaker Autopilot streamlines the process of creating machine learning models by handling the complex tasks involved. All you need to do is upload a tabular dataset and choose the target column for prediction, and then SageMaker Autopilot will systematically evaluate various strategies to identify the optimal model. From there, you can easily deploy the model into a production environment with a single click or refine the suggested solutions to enhance the model’s performance further. Additionally, SageMaker Autopilot is capable of working with datasets that contain missing values, as it automatically addresses these gaps, offers statistical insights on the dataset's columns, and retrieves relevant information from non-numeric data types, including extracting date and time details from timestamps. This functionality makes it a versatile tool for users looking to leverage machine learning without deep technical expertise.
Description
ChemSep is an advanced column simulator utilized for processes such as distillation, absorption, and extraction, which seamlessly integrates both classic equilibrium stage models and nonequilibrium (rate-based) models within a user-friendly interface. This software boasts an extensive library containing capacity and mass transfer performance parameters for various trays and packings, enhancing the accuracy of modeling real-world column performance. With its design mode, ChemSep offers automatic simulation capabilities and facilitates the determination of column diameter based on specified flood fractions, while incorporating industry-standard design methods and pressure drop calculations for both trayed and packed columns. The program is versatile, supporting a wide range of column configurations and specifications that empower users to effectively address separation challenges. Additionally, ChemSep can function as a standalone tool or be integrated into any CAPE-OPEN compliant flowsheeting software, taking advantage of the relevant thermodynamic and physical property data to optimize its performance. Ultimately, this flexibility makes ChemSep an invaluable asset for engineers and researchers in the field of chemical separation processes.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon SageMaker
Yes
Amazon SageMaker Unified Studio
Yes
Amazon Web Services (AWS)
Yes
Integrations
Amazon SageMaker
No
Amazon SageMaker Unified Studio
No
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/autopilot
Vendor Details
Company Name
ChemSep
Country
Netherlands
Website
www.chemsep.org
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
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No