ONNXOvjeren akaunt

@onnxai

ONNX is an open format for representing deep learning models, allowing AI developers to more easily move models between state-of-the-art tools.

onnx.ai
Vrijeme pridruživanja: rujan 2017.
12 fotografija ili videozapisa Fotografije i videozapisi

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  1. 24. sij

    ONNX.js is an open source library for running models on browsers and on Node.js. It utilizes multi-threading in a JavaScript AI inference engine to offer significant performance improvements. Learn more here:

    12 proslijeđenih tweetova 26 korisnika označava da im se sviđa
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  2. 22. sij

    brings to AI by enabling developers to more easily switch between frameworks. Learn more:

    7 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  3. 11. sij

    The preview release of 1.5 adds multiple new features and bug fixes. Learn more here:

    11 proslijeđenih tweetova 20 korisnika označava da im se sviđa
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  4. 23. pro 2019.

    provides by enabling model development in one and deployment in another. Read more about deploying ONNX models in production.

    9 proslijeđenih tweetova 13 korisnika označava da im se sviđa
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  5. 20. pro 2019.

    See how performance compares across different libraries designed for image recognition inside browsers, including ONNX.js.

    13 proslijeđenih tweetova 25 korisnika označava da im se sviđa
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  6. 18. pro 2019.

    is an SDK that provides a seamless end-to-end service which converts raw streaming data into actional insights on Jetson or any T4 platform. Learn more:

    17 proslijeđenih tweetova 39 korisnika označava da im se sviđa
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  7. 12. pro 2019.

    Azure SQL Database Edge allows to put cloud-trained models on the edge to detect anomalies and apply business logic. It supports multiple languages and uses ONNX to convert models.

    7 proslijeđenih tweetova 15 korisnika označava da im se sviđa
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  8. 5. pro 2019.

    Learn how to run a model on a raspberry-pi or other using and DNN Compiler.

    11 proslijeđenih tweetova 19 korisnika označava da im se sviđa
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  9. 26. stu 2019.

    OLive (ONNX Go Live) automates model shipping. This sequence of docker images efficiently integrates model conversion, correctness test, and performance tuning into a single pipeline, outputting production-ready ONNX models.

    23 proslijeđena tweeta 37 korisnika označava da im se sviđa
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  10. 20. stu 2019.

    ONNX is joining the to continue the open-governance model, which encourages community participation and contributions. Learn how LF AI will support and foster the next wave of innovation and adoption for .

    5 proslijeđenih tweetova 15 korisnika označava da im se sviđa
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  11. 16. stu 2019.

    The ONNX exporter allows trained models to be easily exported to the ONNX model format. Learn about the latest updates including increased model coverage, improved performance, and support for multiple ONNX opset versions for multiple backends.

    11 proslijeđenih tweetova 26 korisnika označava da im se sviđa
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  12. 4. stu 2019.

    Runtime 1.0 is available. Our new release brings CPU/GPU performance optimizations, expands the list of execution providers, accelerates ONNX model shipping, and a host of other features. Learn more details here:

    25 proslijeđenih tweetova 39 korisnika označava da im se sviđa
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  13. 23. lis 2019.

    Learn how to build a “Visual Alert” system for an IoT camera by using Cognitive Services to train an image classifier, and exporting that model to run locally on the IoT device.

    9 proslijeđenih tweetova 12 korisnika označava da im se sviđa
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  14. 17. lis 2019.

    The next ONNX Community Workshop will be held 11/18 in Shanghai. If you are using ONNX in your services & applications, building software or hardware that supports ONNX, or contributing to ONNX, we invite you to join us. Submit a proposal to attend:

    1 reply 6 proslijeđenih tweetova 16 korisnika označava da im se sviđa
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  15. 4. lis 2019.

    ONNX v1.6 is now available. The major updates since the last release include availability of sequence and map types, and support for sparse tensors. Learn more:

    17 proslijeđenih tweetova 34 korisnika označavaju da im se sviđa
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  16. 26. ruj 2019.

    Visualize your machine learning models on , or with , an open-source model visualization tool that supports the ONNX model format. Learn more here:

    1 reply 25 proslijeđenih tweetova 45 korisnika označava da im se sviđa
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  17. 20. ruj 2019.

    Accelerate and optimize your machine learning models using and ONNX Runtime. Hear from experts on how ONNX Runtime accelerates Bing Semantic Precise Image Search in this video:

    1 reply 9 proslijeđenih tweetova 14 korisnika označava da im se sviđa
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  18. 18. ruj 2019.

    is a retargetable compilation framework designed for proprietary deep learning accelerators. Check out the new features included in the release of v1.2.0 here:

    1 reply 18 proslijeđenih tweetova 36 korisnika označava da im se sviđa
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  19. 5. ruj 2019.

    Runtime 0.5 is now available with support for edge hardware acceleration in collaboration with and . The release also includes new features targeted towards improving ease of use for experimentation and deployment. To learn more:

    18 proslijeđenih tweetova 28 korisnika označava da im se sviđa
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  20. 29. kol 2019.

    . shares how and continue to collaborate to simplify AI deployments at the edge with the new integration of OpenVINO Toolkit with ONNX Runtime. Read on for more here:

    8 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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