Alternatives and similar repositories for mcunet

Users that are interested in mcunet are comparing it to the libraries listed below

• mit-han-lab / tinyengine
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆904Updated 11 months ago
• mit-han-lab / tinyml
  ☆1,016Updated last year
• mit-han-lab / tiny-training
  On-Device Training Under 256KB Memory [NeurIPS'22]
  ☆497Updated last year
• ARM-software / CMSIS-NN
  CMSIS-NN Library
  ☆325Updated last month
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆432Updated 2 months ago
• Arm-Examples / ML-zoo
  ☆242Updated 2 years ago
• gigwegbe / tinyml-papers-and-projects
  This is a list of interesting papers and projects about TinyML.
  ☆947Updated 2 weeks ago
• ai-techsystems / deepC
  vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
  ☆599Updated 3 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆132Updated last year
• Arm-Examples / ML-examples
  Arm Machine Learning tutorials and examples
  ☆475Updated this week
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆854Updated 2 months ago
• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆424Updated last week
• STMicroelectronics / stm32ai-modelzoo
  AI Model Zoo for STM32 devices
  ☆515Updated 3 months ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆81Updated 4 years ago
• quic / aimet-model-zoo
  ☆338Updated last year
• crespum / edge-ai
  A curated list of resources for embedded AI
  ☆476Updated last week
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆451Updated 2 years ago
• PacktPublishing / TinyML-Cookbook
  TinyML Cookbook, published by Packt
  ☆290Updated this week
• nxp-imx / ethos-u-vela
  ethos-u-vela is the ML model compiler tool and used to compile a TFLite-Micro model into an optimised version for ethos-u NPU on iMX93 pl…
  ☆31Updated 2 months ago
• biagiom / tflite-micro-lib
  TensorFlow Lite C/C++ library for microcontrollers.
  ☆37Updated 5 years ago
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆82Updated 3 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆360Updated last year
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆465Updated last week
• aztc / EtinyNet
  ☆25Updated 3 years ago
• Mxbonn / visualwakewords
  Python library to work with the Visual Wake Words Dataset.
  ☆38Updated 5 years ago
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆539Updated 2 years ago
• STMicroelectronics / stm32ai-perf
  MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices
  ☆14Updated last year
• Qualcomm-AI-research / transformer-quantization
  ☆207Updated 4 years ago
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆537Updated last year
• EEESlab / CMix-NN
  CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
  ☆48Updated 5 years ago