Alternatives and similar repositories for mcunet

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

• mit-han-lab / tinyml
  ☆906Updated last year
• 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…
  ☆871Updated 6 months ago
• mit-han-lab / tiny-training
  On-Device Training Under 256KB Memory [NeurIPS'22]
  ☆481Updated last year
• ARM-software / CMSIS-NN
  CMSIS-NN Library
  ☆277Updated this week
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆410Updated this week
• ARM-software / ML-zoo
  ☆229Updated 2 years ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆80Updated 4 years ago
• gigwegbe / tinyml-papers-and-projects
  This is a list of interesting papers and projects about TinyML.
  ☆869Updated 4 months ago
• sony / model_optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆398Updated last week
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• ARM-software / ML-examples
  Arm Machine Learning tutorials and examples
  ☆461Updated 2 weeks ago
• ai-techsystems / deepC
  vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
  ☆589Updated 2 years ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆68Updated last year
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆435Updated 2 years ago
• PacktPublishing / TinyML-Cookbook
  TinyML Cookbook, published by Packt
  ☆275Updated last year
• STMicroelectronics / stm32ai-modelzoo
  AI Model Zoo for STM32 devices
  ☆422Updated 2 weeks ago
• pavmassimo / TyBox
  ☆12Updated last year
• quic / aimet-model-zoo
  ☆324Updated last year
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆352Updated 10 months ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,918Updated last year
• STMicroelectronics / stm32ai-perf
  MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices
  ☆13Updated last year
• crespum / edge-ai
  A curated list of resources for embedded AI
  ☆429Updated last month
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆80Updated 2 years ago
• PINTO0309 / onnx2tf
  Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massiv…
  ☆803Updated last week
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆437Updated last week
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆273Updated 5 months ago
• Qualcomm-AI-research / transformer-quantization
  ☆204Updated 3 years ago
• tensorflow / tflite-micro-arduino-examples
  ☆245Updated last year
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆826Updated last week
• alibaba / lightweight-neural-architecture-search
  This is a collection of our zero-cost NAS and efficient vision applications.
  ☆423Updated last year