langestefan's Stars
mlcommons/inference
Reference implementations of MLPerf™ inference benchmarks
rust-lang/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
nikdon/pyEntropy
Entropy for Python
fbcotter/pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
mallorbc/stable-diffusion-klms-gui
This repo dockerizes Stable Diffusion to ease the usage of the model with a gradio UI
ikostrikov/pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
MCG-NKU/CVPR_Template
shobrook/sequitur
Library of autoencoders for sequential data
Aura-healthcare/hrv-analysis
Package for Heart Rate Variability analysis in Python
nervetattoo/simple-thermostat
A different take on the thermostat card for Home Assistant ♨️
pvvx/ATC_MiThermometer
Custom firmware for the Xiaomi Thermometers and Telink Flasher
matrix-profile-foundation/matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
jtlait/ecg2rr
ECG to RR
PIA-Group/BioSPPy
Biosignal Processing in Python
alexarch21/history-explorer-card
A card for Home Assistant Lovelace for exploring the history of your entities interactively and in real time.
eclipse-leshan/leshan
Java Library for LWM2M
kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration
danieldotnl/ha-multiscrape
Home Assistant custom component for scraping (html, xml or json) multiple values (from a single HTTP request) with a separate sensor/attribute for each value. Support for (login) form-submit functionality.
michaelgutmann/ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
MortezaMardani/Neural-PGD
This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to unroll the proximal gradient descent algorithm and model the proximal using a neural network. Adopting residual network (ResNet) as the proximal, a recurrent neural net (RNN) is implemented to learn the proximal. The code is flexible to incorporate various training costs such as pixel-wise l1/l2 cost, adversarial GAN, LSGAN, and WGAN.
ginkage/MHI-AC-Ctrl-ESPHome
ESPHome integration for MHI-AC-Ctrl project
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
tue-5AUA0/tue-5aua0.github.io
Course materials for Advanced Sensing using Deep Learning at TU/e
LucasFidon/GeneralizedWassersteinDiceLoss
Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
LuisEstebanAcevedoBringas/FCOS_torch
Fields2Cover/Fields2Cover
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
pearu/pylibtiff
A Python tiff library
Ceyron/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)