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WEKA VS Dlib

Compare WEKA VS Dlib and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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  3. » Reviews
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WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.

Dlib logo Dlib

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem
  • WEKA Landing page
    Landing page //
    2018-09-29
  • Dlib Landing page
    Landing page //
    2019-11-25

WEKA videos

+ Add

Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

Dlib videos

+ Add

Face Recognition with Dlib in Python

More videos:

Category Popularity

0-100% (relative to WEKA and Dlib)

WEKA

Dlib

Data Science And Machine Learning
88 88%
Data Science And Machine Learning
12% 12
Data Science Tools
90 90%
Data Science Tools
10% 10
Python Tools
90 90%
Python Tools
10% 10
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using WEKA and Dlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare WEKA and Dlib

WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...
Source: searchbusinessanalytics.techtarget.com

Dlib Reviews

10 Python Libraries for Computer Vision
Dlib is a versatile library that excels in face detection, facial landmark detection, image alignment, and more. It offers pre-trained models and tools for various machine learning tasks, making it a valuable asset for computer vision projects requiring accurate facial analysis.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for developing complex software in C++ to solve real-world problems. Dlib is widely used in several sectors such as academia, government, and industry. It offers support for several computer vision algorithms such as object detection, face detection, and clustering.
Source: www.uubyte.com

Social recommendations and mentions

Based on our record, Dlib seems to be more popular. It has been mentiond 17 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.

WEKA mentions (0)

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

Dlib mentions (17)

  • 32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
    The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: about 1 year ago
  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 1 year ago
  • What programming language should I learn after C++ for Audio DSP?
    If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 1 year ago
  • Exponential vs linear progress?
    The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 1 year ago
  • Flutter OpenCV and dlib for face detector & recognition
    The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: over 1 year ago
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What are some alternatives?

When comparing WEKA and Dlib, 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.

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

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

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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