mit-han-lab / tinymlLinks
☆1,064Updated 2 years ago
Alternatives and similar repositories for tinyml
Users that are interested in tinyml 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…☆644Updated last year
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆920Updated last year
- On-Device Training Under 256KB Memory [NeurIPS'22]☆509Updated last year
- This is a list of interesting papers and projects about TinyML.☆974Updated last month
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆440Updated last week
- CMSIS-NN Library☆357Updated last month
- ☆248Updated 2 years ago
- Arm Machine Learning tutorials and examples☆479Updated this week
- A curated list of resources for embedded AI☆492Updated this week
- vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers☆600Updated 5 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,938Updated 2 years ago
- An Open-Source Library for Training Binarized Neural Networks☆724Updated last year
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆430Updated last week
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆362Updated last year
- A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…☆270Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆540Updated last year
- TFLite model analyzer & memory optimizer☆135Updated last year
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 4 years ago
- Brevitas: neural network quantization in PyTorch☆1,474Updated this week
- TinyML Cookbook, published by Packt☆296Updated last month
- Summary, Code for Deep Neural Network Quantization☆559Updated 7 months ago
- AI Model Zoo for STM32 devices☆585Updated 3 weeks ago
- QKeras: a quantization deep learning library for Tensorflow Keras☆579Updated 7 months ago
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,537Updated this week
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆452Updated 2 years ago
- Arm NN ML Software.☆1,292Updated last month
- In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture video…☆192Updated last month
- ☆263Updated 2 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆862Updated 3 weeks ago
- Embedded and mobile deep learning research resources☆761Updated 2 years ago