daringpig Goto Github PK

deep-learning-for-sensor-based-human-activity-recognition

Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data.

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-reinforcement-learning-dqn

Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deepconvlstm

deepconvlstm_python3

Conversion of the original code to work in Python3

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

dopnet

dot-vimrc

Maple's vim config files

drug_activity_prediction

dsa_drqn

dsa_drqn_updated

dsae-tf-example

an implementation of Deep Spatial AutoEncoder with tensorflow

duel-staged-attention-for-nyc-weather-prediction

Dual Staged Attention Model for Time Series prediction

elm-java

emdl

Embedded and mobile deep learning research resources

extrasensoryandroid

Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.

fall-detection

老人跌倒检测app

fall-detection-1

Fall Detection

fall-detection-2

A simple fall detection demo based on openpose

fall-detection-in-android

This project presents a simple threshold based fall detection algorithm using accelerometer readings.

feature-extraction

Dimensionality Reduction algorithms including PCA, LDA and Kernel PCA

feature-vectors-for-video-frames

Dealing with videos for classification can be difficult as there's both features across space as well as across time. Using a CNN based feature extractor would extract the spacial features and let an RNN/ LSTM take care of the temporal features. This repo contains code to extract the spatial features using pretrained networks.

feature_selection_gaalgorithm

基于遗传算法的特征选择

featureselectionga

Feature Selection using Genetic Algorithm (DEAP Framework)

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

francissoung.github.io

个人博客静态源码

fully-differentiable-deep-ndf-tf

Fully differentiable deep-neural decision forest in tensorflow

gan

python notebooks accompanying the book Make Your Own GAN