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TopicModels.jl VS DimML

Compare TopicModels.jl VS DimML and see what are their differences

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TopicModels.jl logo TopicModels.jl

Topic models are Bayesian, hierarchical mixture models of discrete data that implements utilities for reading and manipulating data commonly associated with topic models as well as inference and prediction procedures for such models.

DimML logo DimML

The DimML programming language enables users to run any data solution on any website with only a single line of code.
  • TopicModels.jl Landing page
    Landing page //
    2023-10-15
  • DimML Landing page
    Landing page //
    2019-06-03

Category Popularity

0-100% (relative to TopicModels.jl and DimML)

TopicModels.jl

DimML

Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Data Science Tools
6 6%
Data Science Tools
94% 94
Python Tools
4 4%
Python Tools
96% 96
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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What are some alternatives?

When comparing TopicModels.jl and DimML, 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.

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