lenovor's repositories
BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
CF-NADE
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
coursera-ML
use numpy and tensorflow to implement these basic ML model and learning algorithm
DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python code
dl_tutorials
Deep learning tutorials (2nd ed.)
end-to-end-for-chinese-plate-recognition
多标签分类,端到端的中文车牌识别基于mxnet .
exp-machines
Exponential Machines implementation
fifty-shades
Source code to support ACM RecSys'16 paper "Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks"
GPflow
Gaussian processes in TensorFlow
Kaggle
Code for Kaggle Competitions
learning-dl
Learning Deep Learning
LeetCode
:pencil: Python / C++ 11 Solutions of All 375 LeetCode Questions
LRec
Linear Recommender AAAI-16 code
MIDS
Deep Learning Recommender System
Model-Free-Episodic-Control
Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460
multinomial-factorization-machines
Multinomial Factorization Machines
neon_course
neon tutorials
NNRec
Neural models for Collaborative Filtering
OneRead
Use MVP+Dagger2+Realm as a major infrastructure of project and data get from One and Sujin with Crawler.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
STP
Spatio-Temporal Modeling of Check-ins in Location-Based Social Networks
TF-recomm
Tensorflow-based Recommendation systems
vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
walkscan
Algorithms for local community detection in networks