Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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Nov 12, 2026 - Python
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Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
machine-learning deep-learning robotics artificial-intelligence textbook courseware computer-systems ai-agents edge-machine-learning machine-learning-systems mlsys tinyml embodied-ai cloud-ml embedded-ml agentic-ai mobile-ml physical-ai
Sub-50mb agentic, voice and vision intelligence for consumer devices.
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.
raspberry-pi machine-learning webassembly wasm llama whisper mistral onnx tinyml stable-diffusion yolov8
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage computer.
nlp machine-learning retro chatbot z80 code-golf retrocomputing quantization language-model cpm tinyml
A lightweight header-only library for using Keras (TensorFlow) models in C++.
python c-plus-plus machine-learning library deep-learning cpp tensorflow cpp14 keras prediction c-plus-plus-14 header-only convolutional-neural-networks keras-models edge-computing tinyml
The Fastest Deep Reinforcement Learning Library
This is a list of interesting papers and projects about TinyML.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
c microcontroller deep-learning cpp pytorch codegenerator quantization edge-computing neural-architecture-search tinyml
Machine Learning inference engine for Microcontrollers and Embedded devices
python c classifier machine-learning microcontroller random-forest tensorflow scikit-learn sklearn keras inference embedded-systems neural-networks tinyml
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
raspberry-pi arduino esp8266 machine-learning deep-learning microcontrollers raspberrypi esp32 stm32 odroid arm64 stm32f4 sparkfun-products edge-devices onnx tinyml inference-framework nxp-cortex arduino-nano-33-ble-sense
Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥
raspberry-pi arduino deep-learning esp32 pytorch image-classification object-detection jetson ncnn onnx tflite tinyml yolov5 openmmlab
Zant simplifies the deployment and optimization of neural networks on microprocessors
Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
Notes on Machine Learning on edge for embedded/sensor/IoT uses
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
c-plus-plus computer-vision embedded-systems arduino-library image-recognition iot-device embedded-c edge-computing edge-analytics esp32-cam tinyml edgeimpulse
Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it. No network.
In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).
education course tensorflow ml edx-course stem colab-notebook embedded-machine-learning tinyml tensorflow-lite-micro tinyml-edx
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