SiliconLabs / mltk
A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
☆52Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for mltk
- ☆203Updated last year
- FInd arena size for TensorFlow Lite models☆27Updated last year
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆77Updated 2 years ago
- Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices☆93Updated 3 weeks ago
- TensorFlow Lite C/C++ library for microcontrollers.☆30Updated 4 years ago
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆17Updated 3 years ago
- Quick-start machine learning projects on microcontrollers with help of TensorFlow Lite and LibOpenCM3☆32Updated 3 years ago
- Portable C++ library for signal processing and machine learning inferencing☆79Updated 3 weeks ago
- MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices☆11Updated 7 months ago
- Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices☆57Updated 3 weeks ago
- Latest PyTorch binaries for Raspberry Pi Zero, Zero W, 1, 2, 3 and 4. This repository also includes torchaudio and torchvision packages☆33Updated 3 years ago
- Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks☆98Updated 3 months ago
- MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆359Updated 3 weeks ago
- Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…☆52Updated 2 years ago
- Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'☆31Updated 2 years ago
- Acoustic features (MFSCs and MFCCs) for edge AI☆40Updated last year
- Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.☆94Updated 4 years ago
- ☆219Updated 11 months ago
- Edge Impulse firmware for the Arduino Nano 33 BLE Sense development board☆64Updated this week
- CMSIS-NN Library☆210Updated last week
- TFLite model analyzer & memory optimizer☆120Updated 10 months ago
- Syllabus, schedule, resources etc. for TinyML study group☆46Updated 3 years ago
- Framework for automatically porting PyTorch neural networks to CMSIS-NN.☆28Updated 3 years ago
- Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support☆86Updated 4 years ago
- Signal processing blocks☆32Updated 7 months ago
- Official repository: Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrain…☆31Updated last year
- attentional sequence-to-sequence model (based on LSTMs) in TFLite Micro, tested on Arduino Nano 33 BLE☆26Updated 2 years ago
- Jupyter Notebook to accompany "Fixed-point DSP for Data Scientists" blog post 🧑💻🧑🔬☆13Updated last year
- Generate C code for microcontrollers from Tensorflow models☆56Updated last year
- ☆16Updated 6 years ago