MaximAI_Documentation
cONNXr
| MaximAI_Documentation | cONNXr | |
|---|---|---|
| 1 | 2 | |
| 87 | 176 | |
| - | - | |
| 5.0 | 0.0 | |
| 8 days ago | 6 months ago | |
| C | ||
| GNU General Public License v3.0 or later | MIT License |
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MaximAI_Documentation
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[D] Run Pytorch model inference on Microcontroller
MAX7800X Toolchain and Documentation (proprietary) This is a proprieteray toolchain to deploy models to the MAX78000 edge NN devices.
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
What are some alternatives?
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
nanopb-example - This is a simple project created to test the capabilities of Google's protobuf C implementation, nanopb.
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
CMSIS-NN - CMSIS-NN Library
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
nnom - A higher-level Neural Network library for microcontrollers.
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
ML-examples - Arm Machine Learning tutorials and examples