fengxu-pku's repositories
asdar-book.org
data and scripts for the ASDAR book
ml-tutorial
Introduction to ML packages for the 6.86x course
alaff
Solutions to various homework questions from Advanced LAFF, UTAustinX (Winter 2020) at edX
contextily
Context geo-tiles in Python
covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
covid19-forecast-hub
Projections of COVID-19, in standardized format
covid19_projections
COVID-19 Projections Using Machine Learning
CS-4780-Machine-Learning
Assigments of CS4780 in Python
FINDER
FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)
graph-theory
Python graph traversal algorithm implementation including BFS, DFS, Topological Sort, Dijkstra, Prim, BorĹŻvka, Kruskal, A*, Bellman Ford, Bron Kerbosch
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
intro_to_stats_R
A series of tutorials for R (data included). Starts with an introduction to R and works all the way to spatial regressions.
libflame
High-performance object-based library for DLA computations
manim
Animation engine for explanatory math videos
Mathematics-of-Epidemics-on-Networks
Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/
mgwr
Multiscale Geographically Weighted Regression (MGWR)
MIT686x
Depository for MIT Python ML course 2020
mitx-sds-resources
Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
MITx_6.86x
MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
notebooks
jupyter/sage/ipython notebooks
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
sensor-placement
MSc Thesis - Parallel Gaussian Processes for Optimal Sensor Placement
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
STWR
Spatiotemporal Weighted Regression
TransportationNetworks
Transportation Networks for Research