Software Alternatives & Reviews

pyhsmm VS Figure Eight

Compare pyhsmm VS Figure Eight and see what are their differences

pyhsmm logo pyhsmm

pyhsmm is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions.

Figure Eight logo Figure Eight

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.
  • pyhsmm Landing page
    Landing page //
    2023-10-15
  • Figure Eight Landing page
    Landing page //
    2023-08-17

pyhsmm

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website github.com

Figure Eight

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website figure-eight.com

pyhsmm videos

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Figure Eight videos

https://www.youtube.com/watch?v=cPXEIK8N2iE

More videos:

  • Review - 5 Best Sites to Do Figure Eight Tasks to Earn the Most

Category Popularity

0-100% (relative to pyhsmm and Figure Eight)
Data Science And Machine Learning
Data Science Tools
5 5%
95% 95
Python Tools
4 4%
96% 96
Software Libraries
50 50%
50% 50

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What are some alternatives?

When comparing pyhsmm and Figure Eight, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.