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Notes about courses Dive into Deep Learning by Mu Li

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02456-deep-learning

Exercises and supplementary material for the deep learning course 02456.

2019-zju_summerresearch

The task is to restate a thesis and redo the experiment following the instructions in the paper.

4ek608_4ek416

Materials for the Advanced Econometric 1 - courses 4EK608 and 4EK416

academic-drawing

Providing codes (including Matlab and Python) for visualizing numerical experiment results.

air_pollutants_prediction_lstm

This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

arima---moving-average

Dockless_Mobility

arima-lstm-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

at-conv-lstm

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

attentionaugmentedconvlstm

Implementation of TAAConvLSTM and SAAConvLSTM used in "Attention Augmented ConvLSTM for Environment Prediction"

autosummarization

A autosummarization model.

awesome-community-detection

A curated list of community detection research papers with implementations.

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bayesiantimeseries

bigscity-libcity

LibCity: An Open Library for Urban Spatio-temporal Data Mining

bike-sharing-demand-prediction

To forecast bike rental demand in the Capital Bikeshare program in Washington, D.C. by combining historical usage patterns with weather data in order to forecast bike rental demand.

bucket-list-app-api

A feature-rich Flask API for a bucket list service with token based authentication, pagination and search capabilities.

capstone-1-bike-share-project

Data Science - Capstone Project 1: Bike sharing systems have been increasing in demand over the past two decades as a result of rapid advancements in technology. Healthy Ride is a public bicycle sharing system that serves parts of Pittsburgh to fulfill the growing need for changes in mobility pattern. Healthy Ride is operated by Pittsburgh Bike Share and has plans for expansion to reach new neighborhoods by adding more stations, including several electric bikes to help riders navigate Pittsburgh’s hilly geography, located throughout the city. In this project, we determine the results of machine learning models such as decision tree, Lasso, Ridge Regression, Random forests, Support-Vector, XG Boosting, Gradient Boosting and Linear Regression. The effect of factors such as weather, geographic location, time of day, day of week. Bike score, Walk-score, distance between stations etc. on the number of bikes at bike-share station are investigated.

causal-inference-with-bayesian-structural-time-series-models

Applying Bayesian structural time series models to extract the causal impact of events on system evolution.

causal_impact

Python package for causal inference using Bayesian structural time-series models.

causalimpact

Python port of CausalImpact R library

causalimpact-1

An R package for causal inference in time series

cellular-automata-for-traffic-simulation

cgcdemandprediction

climatevegetationdynamics_grangercausality

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

clustering

Density clustering algorithm based on Grid

combining-timeseries-textdata

A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas