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bayes-nn

Lecture notes on Bayesian deep learning

cause

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

collaborativememorynetwork

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

document_cluster

A guide to document clustering in Python

drl4recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

eda-wuhan-coronavirus-dataset

An Exploratory Data Analysis of the Wuhan Coronavirus dataset

expo-mf

Exposure Matrix Factorization: modeling user exposure in recommendation

gnn-in-rs

interview-code-practice-python

面试题

keras-tutorial

Tutorial teaching the basics of Keras and some deep learning concepts

lda

Three open source versions of LDA with collapsed Gibbs Sampling, modified by nanjunxiao

lda2vec

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

machine-learning

Assignments, projects of Machine learning specialization on coursera by University of Washington

machine-learning-with-python

Python codes for common Machine Learning Algorithms

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

multilabel-timeseries-classification-with-lstm

Multi label time series classification with LSTM

nlp-tutorial

Tutorial: Natural Language Processing in Python

notebooks

Various notebooks and tutorials on subjects of interest.

notes-linear-algebra

线性代数笔记

notes-lsju-machine-learning

机器学习笔记

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation