cpetig / tflite_micro_compilerLinks
generate tflite micro code which bypasses the interpreter (directly calls into kernels)
☆82Updated 3 years ago
Alternatives and similar repositories for tflite_micro_compiler
Users that are interested in tflite_micro_compiler are comparing it to the libraries listed below
Sorting:
- ☆248Updated 2 years ago
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆440Updated last week
- TFLite model analyzer & memory optimizer☆135Updated last year
- Arm Machine Learning tutorials and examples☆479Updated this week
- CMSIS-NN Library☆357Updated last month
- vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers☆600Updated 5 months ago
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆14Updated last year
- Pure C ONNX runtime with zero dependancies for embedded devices☆214Updated 2 years ago
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆91Updated 5 years ago
- INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target☆18Updated 6 years ago
- ☆29Updated 4 years ago
- The EEMBC EnergyRunner application framework for the MLPerf Tiny benchmark.☆21Updated 2 years ago
- Efficient neural network deployment for uC using pytorch model☆32Updated 5 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 4 years ago
- TensorFlow Lite C/C++ library for microcontrollers.☆37Updated 5 years ago
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆113Updated 4 months ago
- STM32 Application for Deep Learning Framework with TVM☆18Updated 3 years ago
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆62Updated 5 months ago
- Open Neural Network Exchange to C compiler.☆351Updated 3 weeks ago
- Syllabus, schedule, resources etc. for TinyML study group☆51Updated 4 years ago
- CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices☆48Updated 5 years ago
- QKeras: a quantization deep learning library for Tensorflow Keras☆579Updated 7 months ago
- MNIST inference on STM32F746 using TensorFlow Lite for Microcontrollers☆25Updated 5 years ago
- A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded pl…☆63Updated 4 months ago
- ethos-u-vela is the ML model compiler tool and used to compile a TFLite-Micro model into an optimised version for ethos-u NPU on iMX93 pl…☆34Updated last month
- Acoustic features (MFSCs and MFCCs) for edge AI☆45Updated 2 years ago
- muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.☆90Updated 3 months ago
- Lightweight C implementation of CNNs for Embedded Systems☆62Updated 2 years ago
- EEMBC's Machine-Learning Inference Benchmark targeted at edge devices.☆51Updated 3 years ago
- A toolkit for tinyML research and deployment☆74Updated last year