Pinned Repositories
01_Active_portfolio_management
I'm trying to finish a solution manual and some python code for the book.
2014-SS12-Dead-Reckoning
App to guide two blind people to find each other using dead reckoning methods.
activity-indoor-localization
Code for an indoor localization project for CS386W (Wireless Networking). We use activity classification from motion data collected by a smartphone and a particle filter to localize a user inside a builidng.
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
Alakazam
Unsupervised Indoor Localization System
Android-AR-Kit
An open source, Geographical based, Augmented Reality library
Android_Pedestrian-Dead-Reckoning
Projet: Pedestrian Dead Reckoning for Android. Navigation à l’estime pour piéton pour Android
App-DL
Deep Learning and applications in Startups, CV, Text Mining, NLP
AR
trivial augmented reality (GPS based)
DeepMining
Auto-tuning Machine Learning Pipelines
caigaojiang's Repositories
caigaojiang/attentive-reader-tensorflow
A tensorflow implementation of Teaching Machines to Read and Comprehend (in progress)
caigaojiang/awesome-kagg-ml
ML in Practice - Kaggle Project
caigaojiang/awesome-rl
Reinforcement learning resources curated
caigaojiang/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
caigaojiang/BayesianLearning
Bayesian Machine Learning
caigaojiang/bigdata_analysis
using spark to do some data analysis
caigaojiang/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
caigaojiang/datalab
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
caigaojiang/Dead-REckoning-using-accelerometer-and-gyroscope
caigaojiang/deep-learning-study
Study of HeXA@UNIST in Preparation for Submission
caigaojiang/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
caigaojiang/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
caigaojiang/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
caigaojiang/deepQN_tensorflow
Deep Q Learning in Tensorflow for ATARI
caigaojiang/dqn-tensorflow
Deep Q learning by DeepMind implemented in Google's tensor flow. Multithreaded gameplay speeds up training!
caigaojiang/draw
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
caigaojiang/gf_rnn
TensorFlow Gated Feedback RNN: http://arxiv.org/abs/1502.02367
caigaojiang/Indoor-Positioning-System
An indoor positioning system (IPS) is a system to locate objects or people inside a building using radio waves, magnetic fields, acoustic signals, or other sensory information collected by mobile devices. Global navigation satellite systems (GPS or GNSS) are generally not suitable to establish indoor locations, since microwaves will be attenuated and scattered by roofs, walls and other objects. However, in order to make positioning signals ubiquitous, integration between GPS and indoor positioning can be made. My solution for Indoor Positioning system is based on "Time of arrival" method. For this i had used Ultrasonic sensor(HC-SR04) connected with arduino atmega 2560 (and a cardboard for placing a object on it to determine location of this object) as they cost very less and gives very precise information (values). this hardware setup is connected with iot-platform(take your own platform and change the code accordingly; i.e ; url and sensor observation links) , in this way location of object placed on cardboard can be seen remotely from anywhere in the world as i had used web interface for showing location. There is possibility of making it so much advance by adding some additional feature and additional hardware. One of the most important feature that i want to add is that we can also able see the 'orientation' of object if moving along with the direction.
caigaojiang/neural-summary-tensorflow
TensorFlow implementation of "A Neural Attention Model for Abstractive Summarization" (in progress)
caigaojiang/openwrt-fanqiang
OpenWrt shadowsocks路由器智能、自动翻墙教程
caigaojiang/orderbook-dynamics
Modeling high-frequency limit order book dynamics with support vector machines
caigaojiang/SimpleDS
A Simple Deep Reinforcement Learning Dialogue System
caigaojiang/stocks_rnn
Stock price prediction with LSTMs in TensorFlow
caigaojiang/svae
code for Structured Variational Autoencoders
caigaojiang/tensorflow-deepq
A deep Q learning demonstration using Google Tensorflow
caigaojiang/TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
caigaojiang/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
caigaojiang/tutorials
A series of machine learning tutorials for Torch7
caigaojiang/WiFi-and-Sensors-Indoor-Positioning
This project introduces how to conduct indoor positioning using multi-sensors, including WiFi and mobile sensors, such as accelerometer and magnetometer.We use KNN algorithm to deal with WiFi RSS and use accelerometer and magnetometer to study stepping information of pedestrian.
caigaojiang/WiFiLocalizationDemo
WiFi fingerprinting-based Indoor Localization, an android application.