bharathsudharsan / TinyML-Benchmark-NNs-on-MCUsLinks
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
☆37Updated 3 years ago
Alternatives and similar repositories for TinyML-Benchmark-NNs-on-MCUs
Users that are interested in TinyML-Benchmark-NNs-on-MCUs are comparing it to the libraries listed below
Sorting:
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆63Updated 2 months ago
- TensorFlow Lite C/C++ library for microcontrollers.☆36Updated 5 years ago
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆109Updated 2 weeks ago
- START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices☆118Updated 5 months ago
- Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'☆46Updated 2 years ago
- ☆31Updated 5 years ago
- CMSIS-NN Library☆311Updated last week
- Source code generators for machine learning models.☆38Updated 3 weeks ago
- Portable C++ library for signal processing and machine learning inferencing☆93Updated last week
- Framework for automatically porting PyTorch neural networks to CMSIS-NN.☆29Updated 4 years ago
- ML Audio Classifier Example for Pico 🔊🔥🔔☆67Updated last year
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆88Updated 5 years ago
- Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud☆43Updated 4 months ago
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆19Updated 4 years ago
- Notes on Machine Learning on edge for embedded/sensor/IoT uses☆282Updated 3 weeks ago
- Acoustic features (MFSCs and MFCCs) for edge AI☆44Updated 2 years ago
- IMU sensors on Arduino Nano 33 BLE Sense can be used in gesture recognition. Using machine learning, a model is trained using the data c…☆32Updated 5 years ago
- Collection of STM32 projects making use of Tensorflow Lite Micro☆33Updated 4 years ago
- Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…☆52Updated 2 years ago
- Neural Networks for Microcontrollers☆33Updated 3 years ago
- AI Model Zoo services for STM32 devices☆74Updated last month
- A curated list of resources for embedded AI☆461Updated last month
- NeuralSPOT is Ambiq's AI SDK and Toolkit☆46Updated this week
- ☆41Updated 7 months ago
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆595Updated last year
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated last year
- Enabling Intelligent edge devices with ultra low-power Arm MCUs and TensorFlow Lite☆28Updated 2 years ago
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆424Updated last month
- This repo is the entry point to all other STM32 MCU/MPU AI-related GitHub repos.☆38Updated 2 months ago
- Reverse engineering the V831 npu☆94Updated 4 years ago