eIQ® Toolkit for End-to-End Model Development and Deployment

EIQ-TOOLKIT

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The eIQ Toolkit makes machine learning development faster and easier on NXP EdgeVerse Processors with an intuitive GUI (eIQ Portal) and command line host tools.

The eIQ Portal is an intuitive graphical user interface (GUI) that simplifies ML solutions development. Developers can create, optimize, debug, visualize and export ML models within the Portal. The Portal makes it easier to import datasets and models, rapidly train and deploy neural network models and workloads for AI/ML applications. Developers can also use the Portal’s output software to seamlessly feed into runtime inference engines.

The eIQ Toolkit comes complete with code examples, demonstratable use cases and guidelines for the different process flow options such as importing pretrained models based on popular frameworks, creating, importing and augmenting datasets to develop models within the tools or integrating with users’ existing flow to leverage the supported inference engines.

Diagram

eIQ Toolkit Block Diagram

eIQ Toolkit Block Diagram
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Features

eIQ Toolkit

  • Enables graph-level profiling capability with runtime insights to help optimize neural network architectures for execution on target EdgeVerse™ processors
  • Time Series Studio (TSS), featuring automated machine learning, simplifies and accelerates the development and deployment for time series based AI models
  • Includes ML application examples
  • Select from a database of pre-trained models or “Bring your own model” (BYOM)
  • Transfer learning feature supports “Bring your own data” (BYOD) flow and supports working with user's own data
  • Import models from TensorFlow or Pytorch frameworks or in ONNX format with built in conversion tools

eIQ Extensions

  • NVIDIA TAO Toolkit integration for deploying pre-trained vision ML models on NXP devices
  • Model IP protection
  • Explainable AI for classification and object detection

Supported Devices

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Note: For better experience, software downloads are recommended on desktop.

Y true 0 SSPEIQ-TOOLKITen 16 Application Note Application Note t789 1 Fact Sheet Fact Sheet t523 1 Release Note Release Note t933 7 User Guide User Guide t792 7 en_US 1 1 1.6.9 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1675781618896716137772 SSP 4.6 MB None None documents None 1675781618896716137772 /docs/en/user-guide/EIQTKUG-1.6.9.pdf 4618219 /docs/en/user-guide/EIQTKUG-1.6.9.pdf EIQTKUG-1.6.9 N N 2023-02-07 eIQ Toolkit User Guide 1.6.9 /docs/en/user-guide/EIQTKUG-1.6.9.pdf /docs/en/user-guide/EIQTKUG-1.6.9.pdf User Guide N Y 132339537837198660 2023-02-07 pdf N en Feb 7, 2023 User Guide t792 User Guide User Guide Y N eIQ Toolkit User Guide 1.6.9 false en_US en Application Note Application Note 1 2 0 Chinese AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. 1670996429930711970276zh SSP 2.9 MB Registration without Disclaimer None documents Basic 1670996429930711970276 /secured/assets/documents/zh/application-note/AN13769.pdf 2865615 /secured/assets/documents/zh/application-note/AN13769.pdf AN13769 documents Y N 2022-12-13 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/zh/application-note/AN13769.pdf https://www.nxp.com.cn/webapp/Download?colCode=AN13769&docLang=zh Application Note N 645036621402383989 2024-12-13 zh Dec 13, 2022 645036621402383989 Application Note Y N 使用ONNX，将PyTorch模型部署到恩智浦支持的推理引擎 0 English AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. 1670996429930711970276 SSP 2.9 MB Registration without Disclaimer None documents Basic 1670996429930711970276 /secured/assets/documents/en/application-note/AN13769.pdf 2865615 /secured/assets/documents/en/application-note/AN13769.pdf AN13769 documents Y N 2022-12-13 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /webapp/Download?colCode=AN13769 /secured/assets/documents/en/application-note/AN13769.pdf Application Note N 645036621402383989 2024-12-13 pdf Y en Dec 13, 2022 645036621402383989 Application Note Y N Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX User Guide User Guide 6 3 18 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1648748585935713787321 SSP 10.9 MB Registration without Disclaimer None documents Extended 1648748585935713787321 /secured/assets/documents/en/user-guide/EIQTUG.pdf 10925248 /secured/assets/documents/en/user-guide/EIQTUG.pdf EIQTUG documents Y N 2022-03-31 eIQ Toolkit 1.14.0 User Guide /webapp/Download?colCode=EIQTUG /secured/assets/documents/en/user-guide/EIQTUG.pdf User Guide N 132339537837198660 2025-01-21 pdf Y en Jan 18, 2025 132339537837198660 User Guide Y N eIQ Toolkit 1.14.0 User Guide 4 1.8.0 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1689873159728726489299 SSP 10.5 MB None None documents None 1689873159728726489299 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 10510146 /docs/en/user-guide/EIQTKUG-1.8.0.pdf EIQTKUG-1.8.0 documents N N 2023-07-20 eIQ Toolkit User Guide 1.8.0 /docs/en/user-guide/EIQTKUG-1.8.0.pdf /docs/en/user-guide/EIQTKUG-1.8.0.pdf User Guide N 132339537837198660 2024-11-20 pdf N en Jul 20, 2023 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.8.0 5 1.7.3 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1682096067314718620473 SSP 8.7 MB Registration without Disclaimer None documents Extended 1682096067314718620473 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf 8668956 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf EIQTKUG-1.7.3 documents Y N 2023-04-21 eIQ Toolkit User Guide 1.7.3 /webapp/Download?colCode=EIQTKUG-1.7.3 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf User Guide N 132339537837198660 2023-07-25 pdf Y en Apr 21, 2023 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.7.3 6 6 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1664991637685721178622 SSP 5.7 MB Registration without Disclaimer None documents Extended 1664991637685721178622 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf 5702013 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf EIQTKUG-1.5.2 documents Y N 2022-10-05 eIQ Toolkit User Guide 1.5.2 /webapp/Download?colCode=EIQTKUG-1.5.2 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf User Guide N 132339537837198660 2023-06-18 pdf Y en Oct 5, 2022 132339537837198660 User Guide Y N eIQ Toolkit User Guide 1.5.2 7 1.4.5 English The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. 1657660546003702587837 SSP 3.0 MB Registration without Disclaimer None documents Extended 1657660546003702587837 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf 3015151 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf EIQTKUG_1.4.5 documents Y N 2022-07-12 eIQ Toolkit 1.4.5 User’s Guide /webapp/Download?colCode=EIQTKUG_1.4.5 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf User Guide N 132339537837198660 2022-12-07 pdf Y en Jul 12, 2022 132339537837198660 User Guide Y N eIQ Toolkit 1.4.5 User’s Guide 8 3 English The eIQ Toolkit is a machine-learning software development environment that enables the use 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1648748265118722294554 /docs/en/release-note/EIQTRN.pdf 145071 /docs/en/release-note/EIQTRN.pdf EIQTRN documents N N 2022-03-31 eIQ Toolkit 1.14.0 Release Notes /docs/en/release-note/EIQTRN.pdf /docs/en/release-note/EIQTRN.pdf Release Note N 487216834315582133 2025-01-21 pdf N en Jan 20, 2025 487216834315582133 Release Note Y N eIQ Toolkit 1.14.0 Release Notes 11 1.8.0 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. 1689874055031711623924 SSP 169.6 KB None None documents None 1689874055031711623924 /docs/en/release-note/EIQTRN-1.8.0.pdf 169618 /docs/en/release-note/EIQTRN-1.8.0.pdf EIQTRN-1.8.0 documents N N 2023-07-20 eIQ Toolkit 1.8.0 Release Notes /docs/en/release-note/EIQTRN-1.8.0.pdf /docs/en/release-note/EIQTRN-1.8.0.pdf Release Note N 487216834315582133 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environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware 1675781840847690473344 SSP 168.5 KB None None documents None 1675781840847690473344 /docs/en/release-note/EIQTRN-1.6.9.pdf 168532 /docs/en/release-note/EIQTRN-1.6.9.pdf EIQTRN-1.6.9 documents N N 2023-02-07 eIQ Toolkit 1.6.9 Release Notes /docs/en/release-note/EIQTRN-1.6.9.pdf /docs/en/release-note/EIQTRN-1.6.9.pdf Release Note N 487216834315582133 2023-02-07 pdf N en Feb 7, 2023 487216834315582133 Release Note Y N eIQ Toolkit 1.6.9 Release Notes 14 1.5.2 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware 1664991241936703442122 SSP 108.4 KB Registration without Disclaimer None documents Extended 1664991241936703442122 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf 108369 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf EIQTRN-1.5.2 documents Y N 2022-10-05 eIQ Toolkit 1.5.2 Release Notes /webapp/Download?colCode=EIQTRN-1.5.2 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf Release Note N 487216834315582133 2023-06-18 pdf Y en Oct 5, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.5.2 Release Notes 15 1.4.5 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. 1657660732145712008392 SSP 118.3 KB Registration without Disclaimer None documents Extended 1657660732145712008392 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf 118268 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf EIQTRN_1.4.5 documents Y N 2022-07-12 eIQ Toolkit 1.4.5 Release Notes /webapp/Download?colCode=EIQTRN_1.4.5 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf Release Note N 487216834315582133 2022-12-07 pdf Y en Jul 12, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.4.5 Release Notes 16 3 English This document contains information about the content, new features, and limitations of the eIQ Toolkit package. 1642536213501714780256 SSP 112.3 KB None None documents None 1642536213501714780256 /docs/en/release-note/EIQ-RN.pdf 112294 /docs/en/release-note/EIQ-RN.pdf EIQ-RN documents N N 2022-01-18 eIQ Toolkit 1.2.5 Release Notes /docs/en/release-note/EIQ-RN.pdf /docs/en/release-note/EIQ-RN.pdf Release Note N 487216834315582133 2022-12-07 pdf N en Jan 18, 2022 487216834315582133 Release Note Y N eIQ Toolkit 1.2.5 Release Notes false 0 EIQ-TOOLKIT downloads en true 1 Y SSP Y Y Application Note 1 /secured/assets/documents/en/application-note/AN13769.pdf 2022-12-13 1670996429930711970276 SSP 2 Dec 13, 2022 Application Note AN13769: This document focuses on the conversion, quantization, and optimization of PyTorch models to the TensorFlow Lite and DeepViewRT inference engines. Registration without Disclaimer /secured/assets/documents/en/application-note/AN13769.pdf English documents 2865615 None 645036621402383989 2024-12-13 Y /webapp/Download?colCode=AN13769 Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX /secured/assets/documents/en/application-note/AN13769.pdf documents 645036621402383989 Application Note N en Basic Y pdf 0 Y N Deploy PyTorch Models to NXP Supported Inference Engines Using ONNX 2.9 MB AN13769 N 1670996429930711970276 Fact Sheet 1 /docs/en/fact-sheet/EIQ-FS.pdf 2019-07-12 1562948465206707057398 SSP 9 Jan 21, 2022 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs None /docs/en/fact-sheet/EIQ-FS.pdf English documents 653150 None 736675474163315314 2022-12-07 N /docs/en/fact-sheet/EIQ-FS.pdf eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf documents 736675474163315314 Fact Sheet N en None Y pdf 4 N N eIQ Software Fact Sheet 653.2 KB EIQ-FS N 1562948465206707057398 Release Note 7 /docs/en/release-note/EIQTRN.pdf 2022-03-31 1648748265118722294554 SSP 10 Jan 20, 2025 Release Note This document contains information about the content, new features, and limitations of the eIQToolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. None /docs/en/release-note/EIQTRN.pdf English documents 145071 None 487216834315582133 2025-01-21 N /docs/en/release-note/EIQTRN.pdf eIQ Toolkit 1.14.0 Release Notes /docs/en/release-note/EIQTRN.pdf documents 487216834315582133 Release Note N en None Y pdf 18 N N eIQ Toolkit 1.14.0 Release Notes 145.1 KB EIQTRN N 1648748265118722294554 /docs/en/release-note/EIQTRN-1.8.0.pdf 2023-07-20 1689874055031711623924 SSP 11 Jul 20, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning models as efficiently as possible on NXP hardware. None /docs/en/release-note/EIQTRN-1.8.0.pdf English documents 169618 None 487216834315582133 2023-07-20 N /docs/en/release-note/EIQTRN-1.8.0.pdf eIQ Toolkit 1.8.0 Release Notes /docs/en/release-note/EIQTRN-1.8.0.pdf documents 487216834315582133 Release Note N en None Y pdf 1.8.0 N N eIQ Toolkit 1.8.0 Release Notes 169.6 KB EIQTRN-1.8.0 N 1689874055031711623924 /docs/en/release-note/EIQTRN-1.7.3.pdf 2023-04-21 1682096405039725396288 SSP 12 Apr 21, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware None /docs/en/release-note/EIQTRN-1.7.3.pdf English documents 169406 None 487216834315582133 2023-04-21 N /docs/en/release-note/EIQTRN-1.7.3.pdf eIQ Toolkit 1.7.3 Release Notes /docs/en/release-note/EIQTRN-1.7.3.pdf documents 487216834315582133 Release Note N en None Y pdf 1.7.3 N N eIQ Toolkit 1.7.3 Release Notes 169.4 KB EIQTRN-1.7.3 N 1682096405039725396288 /docs/en/release-note/EIQTRN-1.6.9.pdf 2023-02-07 1675781840847690473344 SSP 13 Feb 7, 2023 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware None /docs/en/release-note/EIQTRN-1.6.9.pdf English documents 168532 None 487216834315582133 2023-02-07 N /docs/en/release-note/EIQTRN-1.6.9.pdf eIQ Toolkit 1.6.9 Release Notes /docs/en/release-note/EIQTRN-1.6.9.pdf documents 487216834315582133 Release Note N en None Y pdf 1.6.9 N N eIQ Toolkit 1.6.9 Release Notes 168.5 KB EIQTRN-1.6.9 N 1675781840847690473344 /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf 2022-10-05 1664991241936703442122 SSP 14 Oct 5, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. eIQ Toolkit is a machine learning environment which enables its users to train and run machine learning modelsas efficiently as possible on NXPhardware Registration without Disclaimer /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf English documents 108369 None 487216834315582133 2023-06-18 Y /webapp/Download?colCode=EIQTRN-1.5.2 eIQ Toolkit 1.5.2 Release Notes /secured/assets/documents/en/release-note/EIQTRN-1.5.2.pdf documents 487216834315582133 Release Note N en Extended Y pdf 1.5.2 Y N eIQ Toolkit 1.5.2 Release Notes 108.4 KB EIQTRN-1.5.2 N 1664991241936703442122 /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf 2022-07-12 1657660732145712008392 SSP 15 Jul 12, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. Registration without Disclaimer /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf English documents 118268 None 487216834315582133 2022-12-07 Y /webapp/Download?colCode=EIQTRN_1.4.5 eIQ Toolkit 1.4.5 Release Notes /secured/assets/documents/en/release-note/EIQTRN_1.4.5.pdf documents 487216834315582133 Release Note N en Extended Y pdf 1.4.5 Y N eIQ Toolkit 1.4.5 Release Notes 118.3 KB EIQTRN_1.4.5 N 1657660732145712008392 /docs/en/release-note/EIQ-RN.pdf 2022-01-18 1642536213501714780256 SSP 16 Jan 18, 2022 Release Note This document contains information about the content, new features, and limitations of the eIQ Toolkit package. None /docs/en/release-note/EIQ-RN.pdf English documents 112294 None 487216834315582133 2022-12-07 N /docs/en/release-note/EIQ-RN.pdf eIQ Toolkit 1.2.5 Release Notes /docs/en/release-note/EIQ-RN.pdf documents 487216834315582133 Release Note N en None Y pdf 3 N N eIQ Toolkit 1.2.5 Release Notes 112.3 KB EIQ-RN N 1642536213501714780256 User Guide 7 /secured/assets/documents/en/user-guide/EIQTUG.pdf 2022-03-31 1648748585935713787321 SSP 3 Jan 18, 2025 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQTUG.pdf English documents 10925248 None 132339537837198660 2025-01-21 Y /webapp/Download?colCode=EIQTUG eIQ Toolkit 1.14.0 User Guide /secured/assets/documents/en/user-guide/EIQTUG.pdf documents 132339537837198660 User Guide N en Extended Y pdf 18 Y N eIQ Toolkit 1.14.0 User Guide 10.9 MB EIQTUG N 1648748585935713787321 /docs/en/user-guide/EIQTKUG-1.8.0.pdf 2023-07-20 1689873159728726489299 SSP 4 Jul 20, 2023 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. None /docs/en/user-guide/EIQTKUG-1.8.0.pdf English documents 10510146 None 132339537837198660 2024-11-20 N /docs/en/user-guide/EIQTKUG-1.8.0.pdf eIQ Toolkit User Guide 1.8.0 /docs/en/user-guide/EIQTKUG-1.8.0.pdf documents 132339537837198660 User Guide N en None Y pdf 1.8.0 N N eIQ Toolkit User Guide 1.8.0 10.5 MB EIQTKUG-1.8.0 N 1689873159728726489299 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf 2023-04-21 1682096067314718620473 SSP 5 Apr 21, 2023 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf English documents 8668956 None 132339537837198660 2023-07-25 Y /webapp/Download?colCode=EIQTKUG-1.7.3 eIQ Toolkit User Guide 1.7.3 /secured/assets/documents/en/user-guide/EIQTKUG-1.7.3.pdf documents 132339537837198660 User Guide N en Extended Y pdf 1.7.3 Y N eIQ Toolkit User Guide 1.7.3 8.7 MB EIQTKUG-1.7.3 N 1682096067314718620473 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf 2022-10-05 1664991637685721178622 SSP 6 Oct 5, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf English documents 5702013 None 132339537837198660 2023-06-18 Y /webapp/Download?colCode=EIQTKUG-1.5.2 eIQ Toolkit User Guide 1.5.2 /secured/assets/documents/en/user-guide/EIQTKUG-1.5.2.pdf documents 132339537837198660 User Guide N en Extended Y pdf 6 Y N eIQ Toolkit User Guide 1.5.2 5.7 MB EIQTKUG-1.5.2 N 1664991637685721178622 /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf 2022-07-12 1657660546003702587837 SSP 7 Jul 12, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf English documents 3015151 None 132339537837198660 2022-12-07 Y /webapp/Download?colCode=EIQTKUG_1.4.5 eIQ Toolkit 1.4.5 User’s Guide /secured/assets/documents/en/user-guide/EIQTKUG_1.4.5.pdf documents 132339537837198660 User Guide N en Extended Y pdf 1.4.5 Y N eIQ Toolkit 1.4.5 User’s Guide 3.0 MB EIQTKUG_1.4.5 N 1657660546003702587837 /secured/assets/documents/en/user-guide/EIQ-UG.pdf 2022-01-18 1642536766242719410567 SSP 8 Jan 18, 2022 User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SOCs. Registration without Disclaimer /secured/assets/documents/en/user-guide/EIQ-UG.pdf English documents 2571110 None 132339537837198660 2023-06-18 Y /webapp/Download?colCode=EIQ-UG eIQ Toolkit 1.2.5 User’s Guide /secured/assets/documents/en/user-guide/EIQ-UG.pdf documents 132339537837198660 User Guide N en Extended Y pdf 3 Y N eIQ Toolkit 1.2.5 User’s Guide 2.6 MB EIQ-UG N 1642536766242719410567 /docs/en/user-guide/EIQTKUG-1.6.9.pdf 2023-02-07 1675781618896716137772 SSP 1 Feb 7, 2023 User Guide User Guide The eIQ Toolkit is a machine-learning software development environment that enables the use of ML algorithms on NXP microcontrollers, microprocessors, and SoCs. None /docs/en/user-guide/EIQTKUG-1.6.9.pdf English 4618219 None User Guide 2023-02-07 N /docs/en/user-guide/EIQTKUG-1.6.9.pdf eIQ Toolkit User Guide 1.6.9 /docs/en/user-guide/EIQTKUG-1.6.9.pdf documents 132339537837198660 User Guide N Y en None Y t792 pdf 1.6.9 N N eIQ Toolkit User Guide 1.6.9 4.6 MB EIQTKUG-1.6.9 N 1675781618896716137772 true Y Softwares

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