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Examples Alternatives
Similar projects and alternatives to examples
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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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
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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
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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
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.
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AI and Time Series Data: Harnessing the Power of Temporal Insights
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.
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Top Programming Languages for AI Development in 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.
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How AI is Transforming Front-End Development in 2025!
TensorFlow.js: An open-source library that allows you to run machine learning models directly in the browser.
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Fine-tuning LLMs locally: A step-by-step guide
Installation of PyTorch or TensorFlow
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AI and Time Series Data: Harnessing Temporal Insights in a Digital Age
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.
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How to Detect API Traffic Anomalies in Real-Time
Local Machine Learning Systems: Self-hosted solutions using open-source tools like TensorFlow or vendor solutions like Traceable AI.
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Open Source Sustainability Initiatives at Deutsche Telekom: Pioneering a Greener Future
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.
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Embracing Open Source in a Changing Political Landscape
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.
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Getting Started with TensorFlow and Keras
If you're interested in diving deeper, check out the official TensorFlow documentation and experiment with different datasets and architectures. Happy coding!
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AIoT Development: Key Tools To Use
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.
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A note from our sponsor - InfluxDB
www.influxdata.com | 12 Jun 2025
Stats
Basic examples repo stats
177
8,125
7.3
about 1 month ago
tensorflow/examples is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of examples is Jupyter Notebook.
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