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TFlearn VS AutoGluon

Compare TFlearn VS AutoGluon and see what are their differences

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TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

AutoGluon logo AutoGluon

Application and Data, Application Utilities, and Machine Learning Tools
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TFlearn videos

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

AutoGluon videos

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AutoML using AutoGluon

More videos:

  • Review - AutoGluon Overview ICML'20 Workshop
  • Tutorial - CVPR Tutorial: Introducing AutoGluon in 20 minutes

Category Popularity

0-100% (relative to TFlearn and AutoGluon)

TFlearn

AutoGluon

OCR
100 100%
OCR
0% 0
Data Science And Machine Learning
72 72%
Data Science And Machine Learning
28% 28
AI
0 0%
AI
100% 100
Machine Learning
76 76%
Machine Learning
24% 24

User comments

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Social recommendations and mentions

Based on our record, TFlearn should be more popular than AutoGluon. It has been mentiond 2 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.

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

AutoGluon mentions (1)

  • Hyperparameter Optimization (HPO) using AutoGluon
    Hey Folks - I recently learned about AutoGluon (https://auto.gluon.ai) and was hoping to use it for HPO among other ML tasks! Using their quick quid, I can successfully use their TabularPredictor for my regression problem and get a number of models trained and have access to a number of details, e.g., performance, and hyperparameters used. However, using the same dataset I fail (with somewhat of a cryptic error... Source: about 3 years ago

What are some alternatives?

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

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

R Caret - Documentation for the caret package.

Clarifai - The World's AI

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

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.

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

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