mit-han-lab / mcunetLinks
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
☆594Updated last year
Alternatives and similar repositories for mcunet
Users that are interested in mcunet are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆888Updated 8 months ago
- ☆951Updated last year
- On-Device Training Under 256KB Memory [NeurIPS'22]☆484Updated last year
- CMSIS-NN Library☆303Updated 2 weeks ago
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆423Updated this week
- ☆238Updated 2 years ago
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆411Updated last month
- vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers☆597Updated last month
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆81Updated 4 years ago
- This is a list of interesting papers and projects about TinyML.☆903Updated 3 weeks ago
- TFLite model analyzer & memory optimizer☆129Updated last year
- Arm Machine Learning tutorials and examples☆470Updated last month
- AI Model Zoo for STM32 devices☆465Updated 3 weeks ago
- A curated list of resources for embedded AI☆451Updated 3 weeks ago
- ☆25Updated 3 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆842Updated this week
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆70Updated last year
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆357Updated last year
- ☆333Updated last year
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆442Updated 2 years ago
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆81Updated 3 years ago
- A simple network quantization demo using pytorch from scratch.☆534Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 8 months ago
- TensorFlow Lite C/C++ library for microcontrollers.☆32Updated 5 years ago
- Open Neural Network Exchange to C compiler.☆310Updated last week
- TinyML Cookbook, published by Packt☆281Updated last year
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆531Updated 11 months ago
- Pure C ONNX runtime with zero dependancies for embedded devices☆210Updated last year
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆87Updated 5 years ago
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated last year