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Neuroph VS @RISK

Compare Neuroph VS @RISK and see what are their differences

ComplyCube
Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
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Neuroph logo Neuroph

Neuroph is lightweight Java neural network framework to develop common neural network architectures.

@RISK logo @RISK

@RISK is the world's most widely used risk analysis tool.
  • Neuroph Landing page
    Landing page //
    2019-11-24
  • @RISK Landing page
    Landing page //
    2023-10-17

Neuroph features and specs

No features have been listed yet.

@RISK features and specs

  • Comprehensive Risk Analysis
    @RISK provides a detailed and comprehensive risk analysis by using Monte Carlo simulation, which allows users to understand the variability and uncertainty in their models.
  • Excel Integration
    @RISK is integrated directly with Microsoft Excel, making it intuitive for users who are familiar with Excel to build their models and perform risk analysis without needing to learn a new interface.
  • Scenario Analysis
    The software allows users to perform scenario and sensitivity analysis, enabling a deeper understanding of which variables have the greatest impact on their models.
  • Reporting and Visualization Tools
    It offers a variety of tools for reporting and data visualization, making it easy to present findings to stakeholders in a clear and impactful way.
  • Custom Distributions
    @RISK provides flexibility with custom distributions, allowing users to fit their data to a wide range of probability distributions.

Possible disadvantages of @RISK

  • Complexity for Beginners
    The software can be complex for beginners or those not familiar with statistical modeling and Monte Carlo simulations, potentially requiring significant time to learn effectively.
  • Cost
    @RISK can be expensive for individual users or small businesses, which might be a barrier compared to other simpler or free alternatives.
  • Excel Dependency
    Being a tool that works within Excel, its performance and capabilities are limited by the functionalities and limitations of Excel itself.
  • Resource Intensive
    Running large simulations can be resource-intensive, requiring significant processing power and potentially leading to performance issues on less powerful hardware.
  • Steep Learning Curve for Advanced Features
    While basic features might be easy to grasp, mastering the advanced features and functionalities of @RISK could require extensive training and experience.

Neuroph videos

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Neuroph Hacking Session at JCrete

@RISK videos

No @RISK videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Neuroph and @RISK)

Neuroph

@RISK

Simulation
100 100%
Simulation
0% 0
Governance, Risk And Compliance
0 0%
Governance, Risk And Compliance
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

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What are some alternatives?

When comparing Neuroph and @RISK, you can also consider the following products

Netron - Open-source visualizer for neural network, deep learning and machine learning models.

SAI360 - GRC Platforms

Deep playground - Deep playground is an interactive visualization of neural networks, written in typescript using d3.

Oracle Risk Management Cloud - Oracle Risk Management helps to document risks and enforce controls as an integral part of your ERP Cloud deployment

OpenCV - OpenCV is the world's biggest computer vision library

Aptible - Aptible is a secure, private cloud deployment platform built to automate HIPAA compliance.

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