Alternatives and similar repositories for tinyengine

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

• mit-han-lab / mcunet
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆599Updated last year
• mit-han-lab / tiny-training
  On-Device Training Under 256KB Memory [NeurIPS'22]
  ☆485Updated last year
• mit-han-lab / tinyml
  ☆965Updated last year
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆424Updated 3 weeks ago
• ai-techsystems / deepC
  vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
  ☆597Updated last month
• Arm-Examples / ML-examples
  Arm Machine Learning tutorials and examples
  ☆472Updated last week
• ARM-software / CMSIS-NN
  CMSIS-NN Library
  ☆309Updated last week
• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆414Updated 2 months ago
• Arm-Examples / ML-zoo
  ☆238Updated 2 years ago
• gigwegbe / tinyml-papers-and-projects
  This is a list of interesting papers and projects about TinyML.
  ☆915Updated this week
• crespum / edge-ai
  A curated list of resources for embedded AI
  ☆459Updated last month
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆131Updated last year
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆843Updated 3 weeks ago
• kraiskil / onnx2c
  Open Neural Network Exchange to C compiler.
  ☆314Updated 2 weeks ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆358Updated last year
• quic / aimet-model-zoo
  ☆334Updated last year
• 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
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,448Updated this week
• ARM-software / armnn
  Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
  ☆1,282Updated last week
• PacktPublishing / TinyML-Cookbook
  TinyML Cookbook, published by Packt
  ☆287Updated last week
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆456Updated last month
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆721Updated last year
• onnx / optimizer
  ONNX Optimizer
  ☆752Updated last month
• alrevuelta / cONNXr
  Pure C ONNX runtime with zero dependancies for embedded devices
  ☆210Updated last year
• mit-han-lab / TinyChatEngine
  TinyChatEngine: On-Device LLM Inference Library
  ☆892Updated last year
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆81Updated 3 years ago
• xboot / libonnx
  A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
  ☆632Updated last month
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆535Updated 11 months ago
• Zhen-Dong / Awesome-Quantization-Papers
  List of papers related to neural network quantization in recent AI conferences and journals.
  ☆710Updated 5 months ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆446Updated 2 years ago