cONNXr
nanopb-example
| cONNXr | nanopb-example | |
|---|---|---|
| 2 | 1 | |
| 175 | 1 | |
| - | - | |
| 0.0 | 2.2 | |
| 6 months ago | over 2 years ago | |
| C | C | |
| MIT License | - |
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cONNXr
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[D] Run Pytorch model inference on Microcontroller
cONNXr - framework with C99 inference engine. Also interesting and not very active.
- [D] Machine Learning Expertise Combined with Embedded Knowlege
nanopb-example
What are some alternatives?
CMSIS-NN - CMSIS-NN Library
stm32-bootloader - Customizable Bootloader for STM32 microcontrollers. This example demonstrates how to perform in-application-programming of a firmware located on an external SD card with FAT32 file system.
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
Protobuf - Protocol Buffers - Google's data interchange format
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
nanopb - Protocol Buffers with small code size
MaximAI_Documentation - START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices
protobuf - Protocol Buffers - Google's data interchange format [Moved to: https://github.com/protocolbuffers/protobuf]
ML-examples - Arm Machine Learning tutorials and examples
nnom - A higher-level Neural Network library for microcontrollers.
tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).