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openne

An Open-Source Package for Network Embedding (NE)

practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

quant-notes

Quantitative Interview Preparation Guide, updated version here ==>

quantitativeprimer

An Interview Primer for Quantitative Finance

spatio-temporal-graph-convolutional-networks-a-deep-learning-framework-for-traffic-forecasting

presentation

spatio-temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

temporal-gcn-lstm

Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat

tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

texas-census-county-data-project

what-happens-when

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"