mit-han-lab / mcunet
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
☆521Updated 11 months ago
Alternatives and similar repositories for mcunet:
Users that are interested in mcunet are comparing it to the libraries listed below
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆840Updated 3 months ago
- ☆827Updated last year
- On-Device Training Under 256KB Memory [NeurIPS'22]☆458Updated 11 months ago
- MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆381Updated 2 weeks ago
- CMSIS-NN Library☆245Updated last week
- ☆218Updated last year
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆79Updated 4 years ago
- This is a list of interesting papers and projects about TinyML.☆832Updated last month
- Arm Machine Learning tutorials and examples☆448Updated 2 months ago
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆366Updated this week
- TFLite model analyzer & memory optimizer☆122Updated last year
- AI Model Zoo for STM32 devices☆357Updated 2 months ago
- A parser, editor and profiler tool for ONNX models.☆418Updated last month
- TinyML Cookbook, published by Packt☆256Updated last year
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆427Updated last year
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆344Updated 7 months ago
- ☆313Updated last year
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆65Updated last year
- TinyMaix is a tiny inference library for microcontrollers (TinyML).☆939Updated 3 weeks ago
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆79Updated 2 years ago
- ☆236Updated last year
- A simple network quantization demo using pytorch from scratch.☆521Updated last year
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated 10 months ago
- Brevitas: neural network quantization in PyTorch☆1,262Updated this week
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆86Updated 4 years ago
- This is the TinyML programs for ESP32 according to BlackWalnut Labs Tutorials. (黑胡桃实验室的TinyML教程中的程序集合)☆160Updated last month
- TensorFlow Lite C/C++ library for microcontrollers.☆30Updated 4 years ago
- Supporting PyTorch models with the Google AI Edge TFLite runtime.☆462Updated this week
- Open Neural Network Exchange to C compiler.☆259Updated last month
- List of papers related to neural network quantization in recent AI conferences and journals.☆540Updated 2 months ago