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PyCaret VS TFlearn

Compare PyCaret VS TFlearn and see what are their differences

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Contents:
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PyCaret logo PyCaret

open source, low-code machine learning library in Python

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • PyCaret Landing page
    Landing page //
    2022-03-19
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PyCaret videos

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Quick tour of PyCaret (a low-code machine learning library in Python)

More videos:

  • Review - Automate Anomaly Detection Using Pycaret -Data Science And Machine Learning
  • Review - Machine Learning in Power BI with PyCaret- Podcast With Moez- Author Of Pycaret

TFlearn videos

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Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to PyCaret and TFlearn)

PyCaret

TFlearn

Data Science And Machine Learning
38 38%
Data Science And Machine Learning
62% 62
OCR
0 0%
OCR
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Machine Learning
36 36%
Machine Learning
64% 64

User comments

Share your experience with using PyCaret and TFlearn. For example, how are they different and which one is better?
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Social recommendations and mentions

TFlearn might be a bit more popular than PyCaret. We know about 2 links to it since March 2021 and only 2 links to PyCaret. 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.

PyCaret mentions (2)

  • How to know what algorithm to apply? THEORY
    Anyway, nowadays there are autoML python packages that once you defined what type of problem you have to solve (e.g. regression, classification) , they automatically train differnt models at once and calculate the best performance. I used a lot the library Pycaret . Source: almost 2 years ago
  • 👌 Zero feature engineering with Upgini+PyCaret
    PyCaret - Low-code machine learning library in Python that automates machine learning workflows. Source: almost 2 years ago

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing PyCaret and TFlearn, you can also consider the following products

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

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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.

Clarifai - The World's AI

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

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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