ai8x-synthesis
Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices (by analogdevicesinc)
MaximAI_Documentation
START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices (by analogdevicesinc)
ai8x-synthesis | MaximAI_Documentation | |
---|---|---|
1 | 1 | |
50 | 87 | |
- | - | |
7.0 | 5.0 | |
3 days ago | 8 days ago | |
Python | ||
Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ai8x-synthesis
Posts with mentions or reviews of ai8x-synthesis.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-14.
-
[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.
MaximAI_Documentation
Posts with mentions or reviews of MaximAI_Documentation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-14.
-
[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.
What are some alternatives?
When comparing ai8x-synthesis and MaximAI_Documentation you can also consider the following projects:
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
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
onnx2c - Open Neural Network Exchange to C compiler.
CMSIS-NN - CMSIS-NN Library
nnom - A higher-level Neural Network library for microcontrollers.
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
ai8x-synthesis vs TinyMaix
MaximAI_Documentation vs cONNXr
ai8x-synthesis vs tinyengine
MaximAI_Documentation vs TinyMaix
ai8x-synthesis vs onnx2c
MaximAI_Documentation vs tinyengine
ai8x-synthesis vs cONNXr
MaximAI_Documentation vs CMSIS-NN
ai8x-synthesis vs nnom
MaximAI_Documentation vs nnom
ai8x-synthesis vs deepC
MaximAI_Documentation vs deepC