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how-kalman-filters-work-examples

Example files for the article "How Kalman Filters Work".

hrvanalysisinnoisysignals

Implementation of an heart rate analysis (HRV) algorithm for spectral analysis in noisy ECG signals by Yaghouby et al. (2016).

hrvas

Heart Rate Variability Analysis Software

human-activity-recognition

Human Activity Recognition using ML on UCI HAR dataset

human-activity-recognition-1

Recognizing human activities based on sensor data

human-activity-recognition-2

Human Activity Recognition using Sensor Data

human-activity-recognition-using-cnn

CNN for Human Activity Recognition in Tensorflow

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

humanactivityrecognition

This repository contains scripts for Human Activity Recognition (HAR) project

ica-ecg-qrs

Extração de características de sinal cardíaco (ECG) utilizando ICA (Análise de Componentes Independentes).

incremental-svm-learning-in-matlab

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

ispecgframework

A framework for processing ECG signals

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

kalman-filter-for-beginners

Sample code in MATLAB/Octave for "Kalman Filter for Beginners"

kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-frcnn

keras-inceptionv4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

keras-vis

Neural network visualization toolkit for keras

keras2cpp

This is a bunch of code to port Keras neural network model into pure C++.

lab

A customisable 3D platform for agent-based AI research

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lapsrn-tensorflow

Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"

learn_dl

Deep learning algorithms source code for beginners

learning-to-learn

Learning to Learn in TensorFlow

lectures

Oxford Deep NLP 2017 course

letswave6

Letswave 6 - Matlab EEG signal processing toolbox