mlcommons / tiny
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
☆403Updated last week
Alternatives and similar repositories for tiny:
Users that are interested in tiny are comparing it to the libraries listed below
- ☆224Updated 2 years ago
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆80Updated 2 years ago
- CMSIS-NN Library☆269Updated 2 weeks ago
- Arm Machine Learning tutorials and examples☆455Updated 5 months ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆79Updated 4 years ago
- TFLite model analyzer & memory optimizer☆126Updated last year
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆563Updated last year
- The EEMBC EnergyRunner application framework for the MLPerf Tiny benchmark.☆16Updated 2 years ago
- ☆12Updated last year
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆41Updated 5 years ago
- [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…☆864Updated 5 months ago
- ☆894Updated last year
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆13Updated last year
- On-Device Training Under 256KB Memory [NeurIPS'22]☆475Updated last year
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆87Updated 5 years ago
- muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.☆77Updated 2 months ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆147Updated this week
- ☆29Updated 4 years ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆136Updated 2 months ago
- STM32 Application for Deep Learning Framework with TVM☆16Updated 2 years ago
- ☆25Updated 3 years ago
- A toolkit for tinyML research and deployment☆62Updated 7 months ago
- Repository to host and maintain scale-sim-v2 code☆290Updated 2 weeks ago
- Reference implementations of popular Binarized Neural Networks☆107Updated 3 weeks ago
- A tool to deploy Deep Neural Networks on PULP-based SoC's☆80Updated 2 months ago
- QKeras: a quantization deep learning library for Tensorflow Keras☆565Updated last month
- A curated list of resources for embedded AI☆418Updated last month
- Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrol…☆496Updated last month
- This repository holds the Google Colabs for the EdX TinyML Specialization☆116Updated 6 months ago
- vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers☆587Updated 2 years ago