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StatSim VS Deep playground

Compare StatSim VS Deep playground and see what are their differences

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StatSim logo StatSim

StatSim is a free probabilistic simulation web app.

Deep playground logo Deep playground

Deep playground is an interactive visualization of neural networks, written in typescript using d3.
  • StatSim Landing page
    Landing page //
    2021-10-02
  • Deep playground Landing page
    Landing page //
    2019-09-01

Category Popularity

0-100% (relative to StatSim and Deep playground)

StatSim

Deep playground

Simulation
27 27%
Simulation
73% 73
Spreadsheets
34 34%
Spreadsheets
66% 66
Video Streaming
100 100%
Video Streaming
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Deep playground seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

StatSim mentions (0)

We have not tracked any mentions of StatSim yet. Tracking of StatSim recommendations started around Mar 2021.

Deep playground mentions (26)

  • Why do tree-based models still outperform deep learning on tabular data? (2022)
    Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / about 2 months ago
  • Introduction to TensorFlow for Deep Learning
    For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 4 months ago
  • Visualization of Common Algorithms
    Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 8 months ago
  • Stanford A.I. Courses
    There’s an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 10 months ago
  • Let's revolutionize the CPU together!
    This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in. Source: 10 months ago
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What are some alternatives?

When comparing StatSim and Deep playground, you can also consider the following products

GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.

Neuronify - An educational neural network app.

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

Stan - Stan offers unlimited access to thousands of hours of entertainment, first-run exclusives, award-winning TV shows, blockbuster movies and kids content.

SoFi - Easy Investing For Smart People. Modern investment management.

Neural Designer - Neural Designer is a high performance data science and machine learning platform.

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