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algorithms

Python implementations of Coursera Algorithms Specialization by Stanford University

beergame

Reinforcement learning for beergame, environment, algorithm, and experiment

clustering-of-mall-customers

Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.

customer-visits

An exploratory study of understanding visit patterns of customers at a shopping mall and predicting their visit in the upcoming week.

data_scientist_nanodegree

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

deep_learning_smart_transportation

A reviewed paper list about applying deep learning models for smarter transportation systems

deepbeerinventory-rl

The code for the SRDQN algorithm to train an agent for the beer game problem

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gaminet

GAMI-Net: Generalized Additive Models with Structured Interactions

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gnnpapers

Must-read papers on graph neural networks (GNN)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-machine-learning

Paper Summary - Interpretable Machine Learning

leetcode

Python & JAVA Solutions for Leetcode

logistic-regression-model-from-scratch-with-pytorch

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml-dl-interview-question

nestedgnn

or-gym

Environments for OR and RL Research

pacmandqn

Deep Reinforcement Learning in Pac-man

paddlerec

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise等，包含经典推荐系统数据集criteo 、movielens等

paper-summary---embedding

random-features

Code for "Random Features Strengthen Graph Neural Networks" (SDM 2021)

realtime-fraud-detection-with-gnn-on-dgl

An end-to-end solution for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

reco-papers

Classic papers and resources on recommendation

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/