This message will disappear after all relevant tasks have been resolved.
Semantic MediaWiki
There are 1 incomplete or pending task to finish installation of Semantic MediaWiki. An administrator or user with sufficient rights can complete it. This should be done before adding new data to avoid inconsistencies.The following pages link to Template:STDarkBlue:
Displayed 50 items.
- Contributors:Templates (← links)
- STM32StepByStep:SFI Step-by-step on STM32H735 Discovery Kit (transclusion) (← links)
- STM32StepByStep:SFIx Step-by-step on STM32H735 Discovery Kit (transclusion) (← links)
- STM32StepByStep:Getting started with USB Type-C only Source (transclusion) (← links)
- STM32StepByStep:SFI Step-by-step on STM32 boards (transclusion) (← links)
- STM32StepByStep:Getting started with USB-Power Delivery Dual Role (transclusion) (← links)
- STM32StepByStep:STM32WB5MM-DK Discovery kit OOB Demonstration (transclusion) (← links)
- STM32StepByStep:STM32WB1M Discovery Kit Out Of Box Demonstration (transclusion) (← links)
- STM32StepByStep:Nucleo-WBA OOB Demonstration (transclusion) (← links)
- AI:How to split the weights (transclusion) (← links)
- AI:How to use STM32Cube.AI command line (transclusion) (← links)
- AI:How to use Teachable Machine to create an image classification application on STM32 (transclusion) (← links)
- AI:Getting started with FP-AI-VISION1 (transclusion) (← links)
- AI:FP-AI-FACEREC1 getting started (transclusion) (← links)
- AI:FP-AI-NANOEDG1 V1.0 getting started (transclusion) (← links)
- AI:FP-AI-NANOEDG1 V2.0 getting started (transclusion) (← links)
- AI:FP-AI-NANOEDG1 V2.0 user manual (transclusion) (← links)
- AI:How to perform condition monitoring on STM32 (transclusion) (← links)
- AI:How to perform motion sensing on STM32L4 IoTnode (transclusion) (← links)
- AI:How to add AI model to OpenMV ecosystem (transclusion) (← links)
- AI:How to use transfer learning to perform image classification on STM32 (transclusion) (← links)
- AI:X-CUBE-AI Quick Start Guide (transclusion) (← links)
- AI:FP-AI-MONITOR1 getting started (transclusion) (← links)
- AI:FP-AI-MONITOR1 user manual (transclusion) (← links)
- AI:How to correct fisheye distortion on STM32 (transclusion) (← links)
- AI:How to measure machine learning model power consumption with STM32Cube.AI generated application (transclusion) (← links)
- AI:How to run larger models on STM32H747I-DISCO (transclusion) (← links)
- AI:X-CUBE-AI Command Line Interface (transclusion) (← links)
- AI:X-CUBE-AI documentation (transclusion) (← links)
- AI:STM32Cube.AI model performances (transclusion) (← links)
- AI:STM32Cube.AI model benchmark (backup) (transclusion) (← links)
- AI:NanoEdge AI Studio: CLI (transclusion) (← links)
- AI:NanoEdge AI Studio (transclusion) (← links)
- AI:NanoEdge AI Library for anomaly detection (AD) (transclusion) (← links)
- AI:NanoEdge AI Library for n-class classification (nCC) (transclusion) (← links)
- AI:NanoEdge AI Emulator for anomaly detection (AD) (transclusion) (← links)
- AI:How to perform anomaly detection using FP-AI-MONITOR1 (transclusion) (← links)
- AI:How to create a dual-tone multi-frequency classifier using NanoEdge AI Studio (transclusion) (← links)
- AI:NanoEdge AI Library for extrapolation (E) (transclusion) (← links)
- AI:NanoEdge AI Library for 1-class classification (1CC) (transclusion) (← links)
- AI:TVM Benchmarking (transclusion) (← links)
- AI:FP-AI-MONITOR1 how to integrate a different AI Model for Human Activity Recognition (HAR) (transclusion) (← links)
- AI:NanoEdge AI Anomaly Detection library for ISPU (transclusion) (← links)
- AI:Deep Quantized Neural Network support (transclusion) (← links)
- AI:How to automatize code generation and validation with X-CUBE-AI CLI (transclusion) (← links)
- AI:How to create a multi-state vibrations classifier using NanoEdge AI studio (transclusion) (← links)
- AI:How to upgrade a STM32 project with a new version of the X-CUBE-AI (transclusion) (← links)
- AI:FP-AI-MONITOR2 user manual (transclusion) (← links)
- AI:FP-AI-MONITOR2 getting started (transclusion) (← links)
- AI:X-CUBE-AI support of ONNX and TensorFlow quantized models (transclusion) (← links)