Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"
MINERVA - Minimal Inference Engine for Robust, Verifiable, and Authenticated ML. Encrypted, integrity-verified neural network inference for MCUs down to ATmega328P.
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
Benchmarking machine learning inferencing on embedded hardware.
Source code of “Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing” (CAIAC 2025)
An editable, auditable 807K-param byte-level LLM: CRUD single facts with provable per-edit locality, and abstain when unsure instead of guessing. CPU, offline.
Epsilon is a library with functions for machine learning and statistics written in plain C. It is intended to run on microcontrollers.
This project focuses on the implementation of optimized Linear and DNN regression models for inter-vehicle distance prediction in a Cooperative Adaptive Cruise Control (CACC) application. It leverages Tensorflow Lite to create optimized models through quantization and pruning for realtime inferencing on Raspberry Pi and On-board Unit (OBU) of Co…
Central Proteus simulation and Git submodule tracker for the STM32 Smart Car network.
TinyML-based obstacle detection and emergency braking system simulated on STM32F401VE using STM32Cube.AI, CMSIS-NN, and Proteus. ONNX model deployed on Arm Cortex-M4.
Ultra-low-latency Ternary Neural Network inference engine for HFT alpha generation, optimized for an ultra-budget 1,120-LUT Renesas FPGA. Features a fully unrolled combinatorial popcount tree achieving 2-cycle deterministic execution without hardware multipliers, paired with an ESP32-S3 hardware-software co-design.
Implementación de un clasificador de vocales basado en SVMs y features MFCC.
A new communication paradigm proposal for restricted bandwidth and fragile channel conditions in NTN.
PXG-Tiny Ai - pixel sprites game asset generator. A 483K-param open-weights model that turns plain English prompts into 16×16 pixel-art sprites — ~1 MB NumPy weights, CPU-only, fully offline.
Real-time wildfire detection on microcontrollers with TinyML + Edge Impulse + Wokwi
A Smart Mask Enforcement System using Multitenant Cascading Architecture in TinyML
Tiny CNN cat/dog classifier for RISC-V edge AI, with PyTorch training, quantized firmware export, and Renode simulation benchmarks.
IoT-based smart medication adherence system using TinyML, BLE, wearable sensing, and React dashboard monitoring.
Ingenuity is an optimized inference engine and benchmarking tool for TinyML models on embedded IoT devices.
To associate your repository with the tiny-ml topic, visit your repo's landing page and select "manage topics."