Hahn-Schickard / AutoFlow
Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implementation of the model on the target platform.
☆52Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for AutoFlow
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆77Updated 2 years ago
- Portable C++ library for signal processing and machine learning inferencing☆78Updated 3 weeks ago
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆17Updated 3 years ago
- MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆358Updated 3 weeks ago
- Quick-start machine learning projects on microcontrollers with help of TensorFlow Lite and LibOpenCM3☆32Updated 3 years ago
- ☆30Updated 4 years ago
- ☆201Updated last year
- A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded pl…☆52Updated 4 months ago
- AI applications and tools☆25Updated this week
- INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target☆18Updated 4 years ago
- A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks☆37Updated 3 weeks ago
- TFLite model analyzer & memory optimizer☆120Updated 9 months ago
- Tool for the deployment and analysis of TinyML applications on TFLM and MicroTVM backends☆30Updated this week
- Lightweight C implementation of CNNs for Embedded Systems☆54Updated last year
- muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.☆64Updated this week
- FInd arena size for TensorFlow Lite models☆27Updated last year
- A library to train and deploy quantised Deep Neural Networks☆19Updated 8 months ago
- The EEMBC EnergyRunner application framework for the MLPerf Tiny benchmark.☆16Updated last year
- NEural Minimizer for pytOrch☆41Updated 3 months ago
- ☆30Updated 3 years ago
- Fork of upstream onnxruntime focused on supporting risc-v accelerators☆81Updated last year
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆86Updated 4 years ago
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆58Updated 2 weeks ago
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.☆28Updated last week
- A scheme for privacy-preserving learning on Tiny Devices.☆41Updated 2 years ago
- tinyml library for Arduino☆15Updated 3 years ago
- Acoustic features (MFSCs and MFCCs) for edge AI☆40Updated last year
- A tool to deploy Deep Neural Networks on PULP-based SoC's☆79Updated 8 months ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆96Updated last year