Jie Tang's starred repositories
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
NetworkEmbedding
4 Network Embedding algorithms (Deepwalk, Node2Vec, LINE, AANE) tested on 2 datasets (CORA and Tencent Weibo)
Graph-Embedding
Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
pytorch_DGCNN
PyTorch implementation of DGCNN
dash-sample-apps
Open-source demos hosted on Dash Gallery
PySpark-EDA-Outbrain-Click-Prediction
The internet is a stimulating treasure trove of possibility. Every day we stumble on news stories relevant to our communities or experience the serendipity of finding an article covering our next travel destination. Outbrain, the web’s leading content discovery platform, delivers these moments while we surf our favorite sites. Outbrain click prediction competition Currently, Outbrain pairs relevant content with curious readers in about 250 billion personalized recommendations every month across many thousands of sites. In this competition, Kagglers are challenged to predict which pieces of content its global base of users are likely to click on. Improving Outbrain’s recommendation algorithm will mean more users uncover stories that satisfy their individual tastes.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
recommenders
Best Practices on Recommendation Systems
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
RecommenderSystem-Paper
This repository includes some papers that I have read or which I think may be very interesting.
2021-new-grads
A curated list of 2021 New Grad positions
MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
DataflowTemplates
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
FeatureEngineeringInPySpark
This repository contains code for performing data preprocessing, EDA, visualization and feature engineering using Apache Spark Dataframes and Pandas Dataframes in PySpark and Jupyter Notebook
EDA-NYC-Parking-Violations-FY2019
Exploratory Data Analysis using Pyspark for NYC Parking Violations FY2019 dataset
LearningApacheSpark
LearningApacheSpark