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End-to-end platform to collect sensor data, train and deploy optimized models to MCUs; now part of Qualcomm.
Other tools in the same categories.
google-ai-edge/LiteRT
Google's on-device ML runtime formerly called TensorFlow Lite, for Android, iOS, embedded Linux and accelerators.
tensorflow/tflite-micro
LiteRT for Microcontrollers: tiny interpreter running quantized models in kilobytes of RAM; the classic TinyML runtime.
pytorch/executorch
PyTorch's on-device runtime (1.0 GA in 2025) for phones, wearables and MCUs with Arm Ethos-U and NPU backends.
microsoft/onnxruntime
Cross-platform inference accelerator for ONNX models on CPU, GPU, NPU, mobile and the web.
developer.nvidia.com
Edge AI modules and JetPack SDK (CUDA, TensorRT) for robotics and vision, from Orin Nano to Jetson Thor.
ggml-org/llama.cpp
C/C++ LLM inference engine behind GGUF and most local tools; runs on CPUs, Apple Silicon and GPUs.
apache/tvm
Open deep learning compiler that optimizes models for diverse CPUs, GPUs and accelerators, including edge targets.
emlearn/emlearn
Converts scikit-learn and Keras models into portable, dependency-free C code for microcontrollers.