fnlsdfmnlksdf's Stars
piyushpathak03/Recommendation-systems
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
JacopoMangiavacchi/WatchHRV
Apple Watch Heart Rate Variability test
samlentz/Apple-Watch-Strava-Parse-Viz
Visualize Speed, Heart Rate, and Elevation across a Strava workout using python
bschmisseur/iHeartRate
The iHeartRate application are available to the public in order to get more out of your Apple Watch. The Apple Watch Application tracks the heart rate information from the heart rate sensor. The saved heart rate information can then be viewed on the Web Application.
aminhtreza/iPhoneAppleWatchSensorMonitor
This Apple Watch and iOS app retrieves heart rate, motion, and location data and displays it in real time
JunyuKuang/HeartRate
Use Apple Watch sensor to monitor heart rates.
leehaesung/My_Heart_Rate_For_Time_Series_Analysis
My Heart Rate Data From Apple Watch For Time Series Analysis
gsprint23/sensor_data_preprocessing
sensor_orientation_filtering is a code base used to align Shimmer sensor <http://www.shimmersensing.com/> axes to the standardized axes of the International Society of Biomechanics, orient shank sensors from a local to body coordinate system, and apply signal filtering.
seemoo-lab/pyshimmer
pyshimmer provides a Python API to work with the wearable sensor devices produced by Shimmer.
arthurkuhn/hrvtoolkit
A toolbox for Heart-Rate Variability analysis on ECG signals.
Welltory/measure-stress-heart-rate-ios
Get stress measurement results in your IOS app using Welltory heart rate variability algorithms
paulvangentcom/heartrate_analysis_python
Python Heart Rate Analysis Package, for both PPG and ECG signals
tejasa97/ECG-Signal-Processing
A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG
realmichaelye/Stress-Prediction-Using-HRV
Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart Rate Variability(HRV) which can be collected from modern wearables such as fitbit devices and apple watches.
tevisgehr/EEG-Classification
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
Jwoo5/fairseq-signals
A collection of deep learning models for ECG data processing based on fairseq framework
mathworks/deep-learning-for-time-series-data
The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/
hildensia/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
marionleborgne/cloudbrain
Platform for real-time wearables data analysis -- like EEG or ECG.
hsd1503/DL-ECG-Review
A Review of Deep Learning Methods on ECG Data
openyou/emokit
Open source driver for accessing raw data from the Emotiv EPOC EEG headset
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Z-Yang-328/Music_Recommandation
Music Recommandation System
WJMatthew/WESAD
E4 data, EDA stress detection
gsancav/Determined-Stress-Level-from-HRV-obtained-with-an-Apple-Watch
Determined Stress Level from HRV obtained with an Apple Watch
openPfizer/DigitalHealthData
Visualization package for Apple Watch data collected by Healthkit
PIA-Group/BioSPPy
Biosignal Processing in Python
shap/shap
A game theoretic approach to explain the output of any machine learning model.
CSAILVision/places365
The Places365-CNNs for Scene Classification
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection