longhoangth's Stars
martinezjavier/ldd3
Linux Device Drivers 3 examples updated to work in recent kernels
d0u9/Linux-Device-Driver
Advanced examples of Linux Device Drivers (LDD3) and detailed manual for running examples in QEMU which is patched with virtual PCI, USB, serial devices. I am actively composing a new book about Driver Development in Linux Kernel.
bootlin/training-materials
Bootlin embedded Linux and kernel training materials
mrjohannchang/linkit-smart-7688-wifi-multi-role
This is a doc for enabling both Wi-Fi access point and station mode simultaneously on LinkIt Smart 7688.
Torchwoods/linkit-smart-mt76x8an
linkit-smart-7688-feed
ArcherHuang/Linkit_Smart_7688
ggreer/the_silver_searcher
A code-searching tool similar to ack, but faster.
Legrandgroup/libezsp
C++ library to send/receive wireless Zigbee messages to/from a Silicon Labs-based transceiver using the EZSP protocol.
edgeimpulse/processing-blocks
Signal processing blocks
harvard-edge/cs249r_book
Collaborative book Machine Learning Systems
mattn/webcam-detect-tflite
tonsky/FiraCode
Free monospaced font with programming ligatures
gigwegbe/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
shogun-toolbox/shogun
Shōgun
facebookresearch/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
mborgerding/kissfft
a Fast Fourier Transform (FFT) library that tries to Keep it Simple, Stupid
tinyMLx/arduino-library
This repository holds the Arduino Library for the EdX TinyML Specialization
tensorflow/tflite-micro-arduino-examples
espressif/esp-tflite-micro
TensorFlow Lite Micro for Espressif Chipsets
espressif/esp-nn
Optimised Neural Network functions for Espressif chipsets
nok/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
eloquentarduino/micromlgen
Generate C code for microcontrollers from Python's sklearn classifiers
visheshgupta-BA/Machine-Learning---Home-Appliances-Energy-Prediction
This repository is a comprehensive resource for a machine learning project that predicts the energy consumption of home appliances. The repository includes the dataset used for training the predictive models, which includes a range of features related to home appliances and their usage pattern
cpputest/cpputest
CppUTest unit testing and mocking framework for C/C++
goruck/nilm
Energy Management Using Real-Time Non-Intrusive Load Monitoring
louisyuzhe/MachineLearning_NILM
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
minhup/Energy-Disaggregation
smakonin/SparseNILM
The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.
MingjunZhong/transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
klemenjak/nilm-papers-with-code
An archive for NILM papers with source code and other supplemental material