Software Alternatives, Accelerators & Startups

protonAutoML VS TFlearn

Compare protonAutoML VS TFlearn and see what are their differences

protonAutoML logo protonAutoML

No-code AI predictions at one-click

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • protonAutoML Landing page
    Landing page //
    2022-10-24
Not present

protonAutoML videos

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TFlearn videos

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

Category Popularity

0-100% (relative to protonAutoML and TFlearn)
AI
100 100%
0% 0
OCR
0 0%
100% 100
Data Science And Machine Learning
Marketing
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, TFlearn seems to be more popular. 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.

protonAutoML mentions (0)

We have not tracked any mentions of protonAutoML yet. Tracking of protonAutoML recommendations started around Jul 2021.

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 protonAutoML and TFlearn, you can also consider the following products

Obviously.ai - The entire process of running Data Science - building Machine Learning algorithm, explaining results and predicting outcomes, packed in one single click.

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

Obviously AI AutoML - We believe that making machine learning accessible represents our greatest opportunity to empower everyday business users.

Clarifai - The World's AI

Softr - From zero to a website in 5 mins, using building blocks.

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.