Alternatives

Products that do what The easiest way to deploy TensorFlow – Inferrd v2.0 does

1. 1IR
   Initial release of the distributed TensorFlow runtime▲85

   2016 · github.com

2. 2
   Inferless▲749

   Deploy any machine learning models in minutes

   2025 · inferless.com

3. 3
   Tensorflow Research Cloud▲288

   Accelerating open machine learning research with Cloud TPUs

   2017

4. 4TR
   TensorFlow-Resources – Organized and Useful Resources about TensorFlow▲152

   2018 · github.com

5. 5
   TensorFlow 1.0▲80

   Open-source machine learning library by Google

   2018

6. 6CT
   Comprehensive Tutorials in Deep Learning Using TensorFlow▲327

   2018 · github.com

7. 7ET
   End-to-end deep learning experimentation platform for Tensorflow▲151

   2017 · github.com

8. 8SA
   Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157

   2018 · github.com

9. 9TA
   TDB: A Visual Debugger for TensorFlow▲144

   2015 · github.com

10. 10DG
    Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80

    2016 · github.com

11. 11
    TensorFire▲99

    Blazing-fast in-browser neural networks

    2017

12. 12TO
    TensorFlow on FreeBSD▲22

    2016 · ecc-comp.blogspot.com

13. 13PI
    Pip install inference, open source computer vision deployment▲71

    Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…

    2023 · github.com

14. 14TT
    Tensorflow tutorials▲7

    2016 · github.com

15. 15TF
    TensorFlow for AWS on a Real GPU▲77

    2015 · github.com

16. 16DL
    Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146

    2019 · github.com

17. 17
    TensorPort▲143

    Help teams apply machine learning to real-world applications

    2017

18. 18
    TensorFlow Lite▲163

    Low-latency inference of on-device ML models

    2017

19. 19TF
    TensorFlow for .NET and Unity ML Agents▲10

    2021 · losttech.software

20. 20AG
    A Go implementation of TensorFlow's streaming quantiles estimator▲98

    2018 · github.com

21. 21AO
    An opinionated Swift for TensorFlow starter project▲5

    2018 · github.com

22. 22MT
    Minimal Tensorflow and Syntaxnet Docker image (17x smaller than official)▲8

    2018 · github.com

23. 23DL
    Deep Learning Using TensorFlow – Tutorials and Source Code▲31

    2017 · github.com

24. 24AG
    A general-purpose encoder-decoder framework for Tensorflow▲54

    2017 · github.com

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