bharathsudharsan / ML-Classifiers-on-MCUs
Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware'
☆12Updated 3 years ago
Alternatives and similar repositories for ML-Classifiers-on-MCUs
Users that are interested in ML-Classifiers-on-MCUs are comparing it to the libraries listed below
Sorting:
- ☆9Updated 4 years ago
- Link: https://bharathsudharsan.github.io/profile/☆10Updated last month
- A modern Smart-speaker with an advanced microphone array, camera module interfaced with Pi capable of performing AI-based tasks☆10Updated 3 years ago
- Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'☆16Updated 3 years ago
- Code for paper 'Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices'☆22Updated 2 years ago
- Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'☆18Updated 2 years ago
- Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'☆24Updated 3 years 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 IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'☆22Updated 2 years ago
- Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'☆36Updated 2 years ago
- ☆12Updated last year
- A scheme for privacy-preserving learning on Tiny Devices.☆44Updated 3 years ago
- ☆31Updated 5 years ago
- Tool for the deployment and analysis of TinyML applications on TFLM and MicroTVM backends☆34Updated this week
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆19Updated 4 years ago
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated last year
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆104Updated last month
- INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target☆18Updated 5 years ago
- A linear array of PEs with RISC-V ISA targeting extreme high frequency on Xilinx ZYNQ Ultrascale+, specificially for applications such as…☆10Updated 11 months ago
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆87Updated 5 years ago
- ☆18Updated 3 years ago
- Botnet detection on IoT Devices☆27Updated 4 years ago
- Hardware aware neural architecture search☆13Updated last month
- Efficient Decision tree Ensembles library for IoT edge nodes☆16Updated 3 months ago
- Messy is an open-source framework that integrates a RISC-V ISS with SystemC-AMS☆17Updated last month
- Code and Results for Master Thesis Project on Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedd…☆12Updated 4 years ago
- ☆25Updated 3 years ago
- Migrate Xilinx edge AI solution to PYNQ☆17Updated 4 years ago
- ☆81Updated last year
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆80Updated 4 years ago