Software Alternatives, Accelerators & Startups

TensorFlow VS Active Admin

Compare TensorFlow VS Active Admin and see what are their differences

TensorFlow logo 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.

Active Admin logo Active Admin

The administration framework for business critical Ruby on Rails applications.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Active Admin Landing page
    Landing page //
    2023-07-30

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Active Admin videos

Harry Potter and the Active Admin

Category Popularity

0-100% (relative to TensorFlow and Active Admin)
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
AI
100 100%
0% 0
No Code
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TensorFlow and Active Admin

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Active Admin Reviews

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Social recommendations and mentions

Based on our record, Active Admin should be more popular than TensorFlow. It has been mentiond 11 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.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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Active Admin mentions (11)

  • Use Rails
    Rails is absolutely fantastic for projects below 10,000 lines with 1 or 2 contributors, especially if you want a classic forms-based UI. And you can get a huge amount done under those constraints in Rails. But as of couple of years ago, Rails came with a number of drawbacks: 1. There was no really viable system of static typing that a significant number of people were enthusiastic about. See... - Source: Hacker News / about 1 month ago
  • Ask HN: Why aren't Django Admin style dashboards popular in other frameworks?
    Can you clarify what's the "tremendous value" you're getting out of the Django admin? At Heii On-Call https://heiioncall.com/ we are using Active Admin https://activeadmin.info/ for Ruby on Rails, which seems quite similar to the Django admin. In my experience, it's mostly useful as a fairly basic read-only view of what's in the database. In Rails, it's so easy to whip together a custom view that we tend to do... - Source: Hacker News / 8 months ago
  • View code coverage (active_admin and orther .arb file)
    For those who know [https://activeadmin.info/](https://activeadmin.info/) it uses a file format [https://github.com/activeadmin/arbre](https://github.com/activeadmin/arbre). Source: over 1 year ago
  • Show HN: Build Ruby on Rails apps 10x faster – Avo
    Very neat! My first thought was that this was a competitor to https://bullettrain.co/. Looking into it a bit more, it seems more aimed at building admin panels than whole apps. I guess it competes against tools like https://activeadmin.info/? - Source: Hacker News / almost 2 years ago
  • From partials to ViewComponents: writing reusable front-end code in Rails
    We briefly considered migrating to a full-grown Rails admin interface, such as ActiveAdmin, RailsAdmin, Administrate or Avo. We especially liked Avo which is built on a very modern stack similar to ours (Tailwind + Hotwire + ViewComponents). In the end, we didn’t go this route as we found some of the options a bit too restrictive (even though Avo is very flexible) and we did not feel like trying to amend it to our... - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing TensorFlow and Active Admin, you can also consider the following products

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

Jet Admin - Build business apps really fast

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

Avo - Prevent human errors when implementing analytics

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

Forest Admin - Execute fast and at scale with no time wasted on internal tools developed in-house.