examples

TensorFlow examples (by tensorflow)

Examples Alternatives

Similar projects and alternatives to examples

  1. React

    1,939 examples VS React

    The library for web and native user interfaces.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. CPython

    1,502 examples VS CPython

    The Python programming language

  4. Flutter

    1,260 examples VS Flutter

    Flutter makes it easy and fast to build beautiful apps for mobile and beyond

  5. node

    1,219 examples VS node

    Node.js JavaScript runtime ✨🐢🚀✨

  6. kubernetes

    Production-Grade Container Scheduling and Management

  7. react-native

    A framework for building native applications using React

  8. fastapi

    549 examples VS fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

  9. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
  10. Django

    536 examples VS Django

    The Web framework for perfectionists with deadlines.

  11. PostgreSQL

    Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

  12. Pandas

    425 examples VS Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  13. Pytorch

    393 examples VS Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  14. NumPy

    301 examples VS NumPy

    The fundamental package for scientific computing with Python.

  15. tensorflow

    An Open Source Machine Learning Framework for Everyone

  16. OpenCV

    215 examples VS OpenCV

    Open Source Computer Vision Library

  17. Scrapy

    189 examples VS Scrapy

    Scrapy, a fast high-level web crawling & scraping framework for Python.

  18. cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

  19. Keras

    87 examples VS Keras

    Deep Learning for humans

  20. scikit-learn

    88 examples VS scikit-learn

    scikit-learn: machine learning in Python

  21. seaborn

    83 examples VS seaborn

    Statistical data visualization in Python

  22. MLflow

    75 examples VS MLflow

    Open source platform for the machine learning lifecycle

  23. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better examples alternative or higher similarity.

examples discussion

Log in or Post with

examples reviews and mentions

Posts with mentions or reviews of examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-05-19.
  • AI and Time Series Data: Harnessing the Power of Temporal Insights
    5 projects | dev.to | 19 May 2025
    As we prepare for the next phase in AI evolution, embracing decentralized approaches and synthetic data generation will be essential. Developers are encouraged to explore technologies like TensorFlow, Prophet, and platforms hosted on Ocean Protocol and License Token for further exploration. Additionally, more detailed discussions on these topics can be found in in-depth Dev.to posts such as Apache Mahout: A Deep Dive into Open Source Innovation and Funding Models.
  • Top Programming Languages for AI Development in 2025
    9 projects | dev.to | 29 Apr 2025
    Python's status as the preferred language for artificial intelligence has been solidified by its ease of use, large library (such as TensorFlow, PyTorch, and scikit-learn), and active community.
  • How AI is Transforming Front-End Development in 2025!
    4 projects | dev.to | 23 Apr 2025
    TensorFlow.js: An open-source library that allows you to run machine learning models directly in the browser.​
  • Fine-tuning LLMs locally: A step-by-step guide
    4 projects | dev.to | 8 Apr 2025
    Installation of PyTorch or TensorFlow
  • AI and Time Series Data: Harnessing Temporal Insights in a Digital Age
    4 projects | dev.to | 7 Apr 2025
    Emerging trends like decentralized data markets, synthetic time series generation, and enhanced NFT-based monetization models underline the vibrant future awaiting AI-driven predictive analytics. For developers and industry leaders, familiarizing yourself with tools like TensorFlow, Prophet, and Nixtla’s TimeGPT is crucial to stay ahead in this dynamic field.
  • How to Detect API Traffic Anomalies in Real-Time
    1 project | dev.to | 7 Apr 2025
    Local Machine Learning Systems: Self-hosted solutions using open-source tools like TensorFlow or vendor solutions like Traceable AI.
  • Open Source Sustainability Initiatives at Deutsche Telekom: Pioneering a Greener Future
    2 projects | dev.to | 5 Mar 2025
    While Deutsche Telekom’s journey with open source is filled with promise, it does not come without challenges. Issues like maintaining high code quality, navigating intellectual property rights, and adapting to rapidly changing technological landscapes are constant hurdles. However, these challenges are also the source of immense opportunity. For instance, by integrating cutting-edge technologies like TensorFlow and exploring future trends such as the intersection of blockchain and open source (the future of open source with blockchain integration), Deutsche Telekom is positioning itself at the forefront of innovation.
  • Embracing Open Source in a Changing Political Landscape
    2 projects | dev.to | 5 Mar 2025
    Throughout Trump's presidency, open source frameworks like Kubernetes, TensorFlow, and Hyperledger played pivotal roles in driving technology forward. These platforms were the backbone of critical technological innovations. Kubernetes streamlined container orchestration, TensorFlow democratized machine learning, and Hyperledger pushed blockchain solutions into mainstream business applications. Tech giants and startups alike harnessed these tools to create scalable, resilient infrastructures that changed how the industry approached innovation. This era also witnessed the rise of initiatives like Open Source Sponsorship, which provided much-needed financial support to evolving OSS projects. By facilitating community engagement and ensuring continuous development, sponsorship programs contributed significantly to the sustainability of open source projects.
  • Getting Started with TensorFlow and Keras
    1 project | dev.to | 19 Feb 2025
    If you're interested in diving deeper, check out the official TensorFlow documentation and experiment with different datasets and architectures. Happy coding!
  • AIoT Development: Key Tools To Use
    2 projects | dev.to | 19 Feb 2025
    This popular AI platform comes with tools for ML model creation. It’s ideal for deep learning tasks and scalable production systems. TensorFlow particularly excels in building complex models like convolutional neural networks or recurrent neural networks.
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 12 Jun 2025
    InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now. Learn more →

Stats

Basic examples repo stats
177
8,125
7.3
about 1 month ago

Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com

Did you know that Jupyter Notebook is
the 13th most popular programming language
based on number of references?