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Rippling VS TensorFlow

Compare Rippling VS TensorFlow and see what are their differences

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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.
  • Rippling Landing page
    Landing page //
    2023-05-28
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Rippling videos

Rolfe Winkler on Zenefits fmr CEO Parker Conrad’s new competing startup Rippling adds IT to payroll

More videos:

  • Review - Rippling CTO Prasanna Sankar: Parker Conrad Gave Rippling CTO 40% 2,000 Customers "$36m ARR Not Far"
  • Review - Rippling Review: Rippling is Magical
  • Review - Rippling Review: Huge Positive Change moving to Rippling
  • Review - Work Magic | Rippling.com
  • Review - Rippling review timesheets on app
  • Tutorial - How to Use HR Features & Run Payroll with Rippling
  • Review - Rippling Review - Should You Use it? Top Features, Pros and cons, Walktrough

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)

Category Popularity

0-100% (relative to Rippling and TensorFlow)
HR
100 100%
0% 0
Data Science And Machine Learning
Monitoring Tools
100 100%
0% 0
AI
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 Rippling and TensorFlow

Rippling Reviews

Top 8 Best Payroll Software For Accountants In 2022
VISIT RIPPLINGRipplingDiscover the benefits and disadvantages of Rippling. Learn the software price, see the description, and read the most helpful reviews for UK business users.Capterra7. Factorial HR
Source: www.toksta.com
10 Best HR Software For Payroll In 2022
Rippling’s modern payroll solution provides the robust functionality of legacy systems with the ease of newer systems to deliver the best of both worlds. It’s built on centralized employee data, so businesses can automate all of the admin work that’s normally required to run payroll and update employee information.
22 Best HR Management Software & Tools to Use in 2021
Rippling’s pricing is only available via quotation, and each service can be added (which then adds up to the small per user/month charge). To get a quote, you can contact sales for inquiry. However, pricing for Rippling’s base features starts at $7 per user/month.
Source: allthatsaas.com
20 Identity Management Solutions You Should Know
Rippling fuses HR & IT into a single, scalable digital system. That might sound like a random combination at first, but it’s a major timesaver. Hiring a new employee, for instance, involves innumerable small-but-important HR and IT tasks. The hire must be added to the company directory and payroll. They need a computer and login credentials, as well as appropriate privileges...
Source: builtin.com

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...

Social recommendations and mentions

Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.

Rippling mentions (0)

We have not tracked any mentions of Rippling yet. Tracking of Rippling recommendations started around Mar 2021.

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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What are some alternatives?

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

Workday - Workday is an on‑demand financial management and human capital management software solution.

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

ADP Workforce Now - ADP Workforce Now provides cloud-based software, expert support and predictive analytics for data-driven insights.

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

Okta - Enterprise-grade identity management for all your apps, users & devices

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