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onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.19.2)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.19.2
Last update 03. September 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.19.2
Last update 03. September 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.19.0)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.19.0
Last update 20. August 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.19.0
Last update 20. August 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.18.0)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.18.0
Last update 20. May 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.18.0
Last update 20. May 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.17.3)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.17.3
Last update 10. April 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.17.3
Last update 10. April 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.17.1)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.17.1
Last update 26. February 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.17.1
Last update 26. February 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.17.0)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.17.0
Last update 01. February 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.17.0
Last update 01. February 2024
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.16.3)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.16.3
Last update 21. November 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.16.3
Last update 21. November 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.16.2)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.16.2
Last update 09. November 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.16.2
Last update 09. November 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.16.1)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.16.1
Last update 11. October 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.16.1
Last update 11. October 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
onnxruntime-training-android from group com.microsoft.onnxruntime (version 1.16.0)
The onnxruntime-training android package is designed to efficiently train and infer a wide range of ONNX models on edge devices, such as mobile phones, tablets, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
Group: com.microsoft.onnxruntime Artifact: onnxruntime-training-android
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Artifact onnxruntime-training-android
Group com.microsoft.onnxruntime
Version 1.16.0
Last update 19. September 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.microsoft.onnxruntime
Version 1.16.0
Last update 19. September 2023
Tags: other android usage range phones focus accuracy training microsoft onnxruntime edge details https minimizing designed onnx train models github package wide devices resource maximizing more mobile tree portable master such with examples on_device_training infer efficiently tablets
Organization Microsoft
URL https://microsoft.github.io/onnxruntime/
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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