Software Alternatives, Accelerators & Startups

Compiled VS TFlearn

Compare Compiled VS TFlearn and see what are their differences

Compiled logo Compiled

Share all your content with one link. Make it easy for people to find you everywhere online. Create one link to your entire online presence - your social media, and more

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Compiled Landing page
    Landing page //
    2021-06-25

Share all your content with one link. Compiled is a platform where users can create the universal link to their entire online presence. This is useful on platforms such as Instagram where a user is restricted to just one profile link.

Not present

Compiled

Website
cosoc.com
$ Details
freemium $10.0 / Monthly (Premium)
Platforms
Web

TFlearn

Pricing URL
-
$ Details
Platforms
-

Compiled videos

No Compiled videos yet. You could help us improve this page by suggesting one.

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TFlearn videos

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

Category Popularity

0-100% (relative to Compiled and TFlearn)
Link Management
100 100%
0% 0
OCR
0 0%
100% 100
Social Media Tools
100 100%
0% 0
Data Science And Machine Learning

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.

Compiled mentions (0)

We have not tracked any mentions of Compiled yet. Tracking of Compiled recommendations started around Mar 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 / over 3 years ago

What are some alternatives?

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

Keyoxide - Keyoxide is a secure platform that allows you to manage a decentralized identity based on cryptographic keys.

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

Linktree - Connect your audience to all of your content with just one link.

Clarifai - The World's AI

Multy - Create a list of URLs, and share it with your friends with just one link

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.