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TensorFlow VS DHIS2

Compare TensorFlow VS DHIS2 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.

DHIS2 logo DHIS2

Manage aggregate data with a flexible data model which has been field-tested for more than 15 years.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • DHIS2 Landing page
    Landing page //
    2023-08-03

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)

DHIS2 videos

A Demonstration of DHIS2

Category Popularity

0-100% (relative to TensorFlow and DHIS2)
Data Science And Machine Learning
Form Builder
0 0%
100% 100
AI
100 100%
0% 0
Surveys
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 DHIS2

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...

DHIS2 Reviews

We have no reviews of DHIS2 yet.
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Social recommendations and mentions

TensorFlow might be a bit more popular than DHIS2. We know about 7 links to it since March 2021 and only 5 links to DHIS2. 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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DHIS2 mentions (5)

  • A deep-dive on a Progressive Web App implementation for a React-based App Platform (DHIS2)
    At DHIS2, we're a remote-first team of developers building the world's largest health information management system. DHIS2 is a free and open-source global public good developed at the University of Oslo. It is used in more than 90 countries around the world, serving as the national health information system for more than 70 countries. It is a general-purpose data collection and analytics platform used to manage... - Source: dev.to / 9 months ago
  • Contribute to a public good in Hacktoberfest: DHIS2
    Read more about DHIS2 on the website https://dhis2.org. Source: over 1 year ago
  • Is there any free and open source software for electronic medical records?
    Https://dhis2.org/ is another that I have heard of in addition to GNU health. Source: almost 2 years ago
  • Tree cover loss – 2001-2020
    Thank you for your work at Data Lab! I've been following WRI and GFW for a while and it's important stuff. Also working in a global public-good project [0] I strongly resemble your challenges - uncertain funding, difficulty competing for top tech talent, and relatively small teams for huge projects. But so much more importantly the amazing benefits of working on something meaningful resonate with me. The... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (October 2021)
    DHIS2 (University of Oslo) | Multiple Roles | Onsite/Remote around CET | Oslo, Norway | https://dhis2.org DHIS2 is the largest health information system in the world. It is a free and open source global public good, developed at the University of Oslo (UiO) with ample support from the likes of WHO, CDC, Gates Foundation, Global Vaccine Alliance, norad.no, UNICEF, and others. DHIS2 is used at the national level in... - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing TensorFlow and DHIS2, you can also consider the following products

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

SurveyCTO - Collect data you can trust Offline or online, in the field, on the street, or in the lab.

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

Ona - Mobile Data Collection solution and application that empowers field teams. Ona provides a web and mobile app that allows the monitoring of real time field data both online and offline.

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

CommCare - The digital platform for impactful frontline work everywhere