R4EconR Code Examples Multi-dimensional/Panel Data
Stars: ✭ 16 (-80.49%)
AppelpyApplied Econometrics Library for Python
Stars: ✭ 136 (+65.85%)
Fixedeffectmodels.jlFast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Stars: ✭ 132 (+60.98%)
pivenOfficial implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach
Stars: ✭ 26 (-68.29%)
dsgeCourse on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)
Stars: ✭ 41 (-50%)
fortune500Fortune 500 company lists since 1955 in CSV format, mostly parsed using Beautiful Soup
Stars: ✭ 78 (-4.88%)
Econ-Data-ScienceArticles/ Journals and Videos related to Economics📈 and Data Science 📊
Stars: ✭ 102 (+24.39%)
QuantMacro2018-2019 Quantitative Macroeconomics, UAB
Stars: ✭ 51 (-37.8%)
Dev-IIFor 'Economics Development II' PhD seminar at CUNY Graduate Center. (older site) Generates docs at:
Stars: ✭ 36 (-56.1%)
akshareAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Stars: ✭ 5,155 (+6186.59%)
rollRegresR package for fast rolling and expanding linear regression models
Stars: ✭ 20 (-75.61%)
imbalanced-regression[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Stars: ✭ 425 (+418.29%)
PRISMAn alternative to MCMC for rapid analysis of models
Stars: ✭ 40 (-51.22%)
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (-56.1%)
EvoTrees.jlBoosted trees in Julia
Stars: ✭ 108 (+31.71%)
wink-statisticsFast & numerically stable statistical analysis
Stars: ✭ 36 (-56.1%)
smoothThe set of smoothing functions used for time series analysis and in forecasting.
Stars: ✭ 78 (-4.88%)
PyTsetlinMachineCUDAMassively Parallel and Asynchronous Architecture for Logic-based AI
Stars: ✭ 37 (-54.88%)
LinearityIQA[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Stars: ✭ 73 (-10.98%)
Machine-Learning-SpecializationProject work and Assignments for Machine learning specialization course on Coursera by University of washington
Stars: ✭ 27 (-67.07%)
basis-expansionsBasis expansion transformers in sklearn style.
Stars: ✭ 74 (-9.76%)
EconDataR package containing a host of datasets useful for economic research. Complete with raw data and cleaning functions.
Stars: ✭ 28 (-65.85%)
3D-face-reconstruction3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.
Stars: ✭ 28 (-65.85%)
sl3💪 🤔 Modern Super Learning with Machine Learning Pipelines
Stars: ✭ 93 (+13.41%)
bacondecompBacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
Stars: ✭ 36 (-56.1%)
prediction-builderA library for machine learning that builds predictions using a linear regression.
Stars: ✭ 107 (+30.49%)
HurdleDMR.jlHurdle Distributed Multinomial Regression (HDMR) implemented in Julia
Stars: ✭ 19 (-76.83%)
BetaML.jlBeta Machine Learning Toolkit
Stars: ✭ 64 (-21.95%)
onelearnOnline machine learning methods
Stars: ✭ 14 (-82.93%)
Metida.jlJulia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Stars: ✭ 19 (-76.83%)
DichotomyTestsDichotomy Tests provides interesting tests that show you how inclined you are toward certain philosophical, psychological or political views. Each test tries to discover your preferred beliefs and will attempt to accurately position you along numerous dichotomic axes.
Stars: ✭ 78 (-4.88%)
CubistA Python package for fitting Quinlan's Cubist regression model
Stars: ✭ 22 (-73.17%)
cpiQuickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)
Stars: ✭ 99 (+20.73%)
niqlowdesign, solve and estimate discrete dynamic programs.
Stars: ✭ 16 (-80.49%)
ridgeCRAN R Package: Ridge Regression with automatic selection of the penalty parameter
Stars: ✭ 17 (-79.27%)
araAgile Regression Analyzer
Stars: ✭ 74 (-9.76%)
grmpyPython package for the simulation and estimation of generalized Roy model
Stars: ✭ 14 (-82.93%)
regressrA command line regression testing framework for testing HTTP services
Stars: ✭ 35 (-57.32%)
ImVisibleImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)
Stars: ✭ 32 (-60.98%)
needlestackMulti-sample somatic variant caller
Stars: ✭ 45 (-45.12%)
ugtmugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (-58.54%)
econ5170Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
Stars: ✭ 127 (+54.88%)
lecture-julia.mystLecture source for "Quantitative Economics with Julia"
Stars: ✭ 24 (-70.73%)
quantgovThe QuantGov Library
Stars: ✭ 21 (-74.39%)
blorrTools for developing binary logistic regression models
Stars: ✭ 16 (-80.49%)
brglm2Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Stars: ✭ 18 (-78.05%)
SGppSG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Stars: ✭ 59 (-28.05%)
polatoryFast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.
Stars: ✭ 82 (+0%)
priceREconomics and Pricing in R
Stars: ✭ 32 (-60.98%)
occupationcoderGiven a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.
Stars: ✭ 30 (-63.41%)
SolveDSGE.jlA Julia package to solve DSGE models
Stars: ✭ 55 (-32.93%)