bharathsudharsan / CNN_on_MCULinks
Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'
☆24Updated 3 years ago
Alternatives and similar repositories for CNN_on_MCU
Users that are interested in CNN_on_MCU are comparing it to the libraries listed below
Sorting:
- ☆9Updated 4 years ago
- A modern Smart-speaker with an advanced microphone array, camera module interfaced with Pi capable of performing AI-based tasks☆10Updated 4 years ago
- Link: https://bharathsudharsan.github.io/profile/☆10Updated 4 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
- Code for paper 'Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices'☆23Updated 2 years ago
- Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Exec…☆12Updated 4 years ago
- Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'☆16Updated 4 years ago
- Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'☆18Updated 3 years ago
- ☆31Updated 5 years ago
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆19Updated 4 years ago
- Framework for automatically porting PyTorch neural networks to CMSIS-NN.☆29Updated 4 years ago
- Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'☆37Updated 3 years ago
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆87Updated 5 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆45Updated 5 years ago
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated last year
- A scheme for privacy-preserving learning on Tiny Devices.☆47Updated 3 years ago
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆107Updated 2 weeks ago
- ☆238Updated 2 years ago
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆62Updated 2 weeks ago
- ☆12Updated last year
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆70Updated last year
- Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.☆9Updated 6 years ago
- Acoustic features (MFSCs and MFCCs) for edge AI☆44Updated last year
- Code and Results for Master Thesis Project on Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedd…☆12Updated 4 years ago
- Efficient Decision tree Ensembles library for IoT edge nodes☆16Updated 6 months ago
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆589Updated last year
- MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆422Updated last week
- Collection of Machine Learning examples using MLEK CMSIS-pack.☆10Updated 2 months ago
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆81Updated 2 years ago