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activityrecognition

Information about activity recognition

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

auto_conditioned_rnn_motion

Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

dagan

DAGAN: Data Augmentation Generative Adversarial Networks

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-har

Convolutional and LSTM networks to classify human activity

deephar

Code repository for experiments on deep architecture for HAR in ubicomp

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

gan-motion-prediction

An LSTM based GAN for Human motion synthesis

gan_metrics-tensorflow

Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

handwriting-generation

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

heart-rate-estimation-using-ppg-during-exercise-in-intense-motion-artifacts

This project addresses to estimate heart rate (HR) during exercise in real-time using wrist-type PPG signals amidst intense motion artifacts

hrv

Heart Rate Variability

hrv-1

Research Project on Heart Rate Variability - DTU 2015

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

netron

Visualizer for deep learning and machine learning models

ppg-pattern-recognition

Pattern recognition in PPG signals using only a limited number of labeled examples. We train a network to separate clean segments from noise and motion artifacts.

ppgpeakdetection1

Modeling Motion Artifacts on wearable PPG signals for ambulatory heart rate monitoring

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

project-ift6266

Repository for the Deep Learning Project of the course IFT6266 - Conditional Image Generation

sensegen

shap

A game theoretic approach to explain the output of any machine learning model.

signal_quality

PPG signal quality (motion artifact detection)