Pinned Repositories
1806-spring17
18.06 course at MIT in Spring 2017
2015
2017
531w16
Course materials for Stats 531 Winter 2016 (Analysis of Time Series)
A-Programmers-Guide-to-English
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
adv-r
Advanced R programming: a book
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
awesome-R
A curated list of awesome R frameworks, packages and software.
mmkuang's Repositories
mmkuang/BDA_py_demos
Bayesian Data Analysis demos for Python
mmkuang/BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
mmkuang/NLsolve.jl
Julia solvers for systems of nonlinear equations and mixed complementarity problems
mmkuang/Beamer-Theme-Execushares
A minimalist and modern Beamer theme
mmkuang/Hobo.jl
Just somewhere to store code that doesn't really belong anywhere else.
mmkuang/macrolib
C++ implementation of Chris Sims' gensys program using the Armadillo linear algebra library.
mmkuang/BMR
Bayesian Macroeconometrics in R
mmkuang/RJulia
R package which integrating R and Julia
mmkuang/probability
Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis
mmkuang/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
mmkuang/spaCy
Industrial strength NLP with Python and Cython
mmkuang/CoreNLP
Stanford CoreNLP: A Java suite of Core NLP tools
mmkuang/2015
mmkuang/tutorials
mmkuang/MLOpt.jl
Tutorial code for Machine Learning and Optimization written in julia
mmkuang/bdapy
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
mmkuang/SolveDSGE
A Julia package to solve DSGE models
mmkuang/Mocha.jl
Deep Learning framework for Julia
mmkuang/Julia-listings
Settings for typesetting Julia code with the listings package (LaTeX)
mmkuang/awesome-R
A curated list of awesome R frameworks, packages and software.
mmkuang/stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
mmkuang/jolo
Experimental Julia tools for dsge models