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TFlearn VS GitHub Codespaces

Compare TFlearn VS GitHub Codespaces and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TFlearn logo TFlearn

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

GitHub Codespaces logo GitHub Codespaces

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Not present
  • GitHub Codespaces Landing page
    Landing page //
    2023-09-01

TFlearn videos

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

GitHub Codespaces videos

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Brief introduction of GitHub Codespaces

More videos:

  • Review - GitHub Codespaces First Look - 5 things to look for

Category Popularity

0-100% (relative to TFlearn and GitHub Codespaces)

TFlearn

GitHub Codespaces

OCR
100 100%
OCR
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using TFlearn and GitHub Codespaces. 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 TFlearn and GitHub Codespaces

TFlearn Reviews

We have no reviews of TFlearn yet.
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GitHub Codespaces Reviews

12 Best Online IDE and Code Editors to Develop Web Applications
Beginners who want to try their luck can use GitHub Codespaces for free with limited benefits, but you will have enough features to carry on. If you are a team or an enterprise, you can start using GitHub Codespaces at $40/user/year.
Source: geekflare.com

Social recommendations and mentions

Based on our record, GitHub Codespaces seems to be a lot more popular than TFlearn. While we know about 143 links to GitHub Codespaces, we've tracked only 2 mentions of TFlearn. 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

GitHub Codespaces mentions (143)

  • From Text Editors to Cloud-based IDEs - a DevEx journey
    Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024). - Source: dev.to / 3 days ago
  • Mastering Code Quality: Setting Up ESLint with Standard JS in TypeScript Projects
    If your team is using a Cloud Development Environment such as GitHub Codespaces, or Dev Containers such as Docker, you can even share the installation of dbaeumer.vscode-eslint with your teammates, via devcontainer.json. - Source: dev.to / about 1 month ago
  • Coding on tab s9 ultra
    Https://github.com/features/codespaces Currently, it is probably the most convenient for coding on mobile devices. Source: 6 months ago
  • Learning Angular
    I am currently right now viewing Angular Essential Training (paid by my company but I have a personal Pluralsight) and using GitHub Codespaces for $4 a month to host the virtuals created for such coding/learning. Source: 6 months ago
  • Amazon CodeCatalyst - Is it ready for the enterprise?
    I’m very interested in recent advancements in cloud-hosted development environments. GitHub Codespaces is the option I have the most experience with and the one I use more generally. With cloud-hosted development environments, your local machine becomes more of a thin client that facilitates access to the internet and the development environment. That is a considerable step toward enabling better education in... - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing TFlearn and GitHub Codespaces, 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.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

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.

CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

Clarifai - The World's AI

StackBlitz - Online VS Code Editor for Angular and React

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