asavagar

asavagar's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.6k2.3k11710k

• wilsonfreitas/awesome-quant

  A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

  Language:Python18.8k708692.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4663304.2k

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python15k6224074.2k

• jvns/pandas-cookbook

  Recipes for using Python's pandas library

  Language:Jupyter Notebook6.7k305452.3k

• jdorfman/awesome-json-datasets

  A curated list of awesome JSON datasets that don't require authentication.

  Language:JavaScript3.3k8831381

• SciML/DifferentialEquations.jl

  Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  Language:Julia2.9k56889231

• sfirke/janitor

  simple tools for data cleaning in R

  Language:R1.4k36410130

• jupyter/nbgrader

  A system for assigning and grading notebooks

  Language:Python1.3k41933317

• SciML/SciMLTutorials.jl

  Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

  Language:CSS7222477127

• chebfun/chebfun

  Chebfun: numerical computing with functions.

  Language:MATLAB621591.1k143

• SciML/DiffEqOperators.jl

  Linear operators for discretizations of differential equations and scientific machine learning (SciML)

  Language:Julia2821719574

• FixedEffects/FixedEffectModels.jl

  Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

  Language:Julia231712446

• matthieugomez/EconPDEs.jl

  Solve non-linear HJB equations.

  Language:Julia126142342

• EconForge/dolo.py

  Economic modelling in python

  Language:Python991714372

• topepo/rstudio-conf-2018

  Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018

  Language:JavaScript7615155

• randall-romero/CompEcon

  A Python version of Miranda and Fackler's CompEcon toolbox

  Language:Jupyter Notebook638324

• QuantEcon/CompEcon.jl

  Julia versions of the CompEcon routines by Miranda and Fackler.

  Language:Julia48112427

• solowPy/solowPy

  Library for solving, simulating, and estimating the Solow (1956) model of economic growth.

  Language:Python384921

• GabrieleRovigatti/prodest

  Stata and R functions for production function estimation

  Language:Stata3661825

• NYUEcon/CompEconWorkshop_2017

  Language:Jupyter Notebook2511035

• OyamaZemi/MirandaFackler.notebooks

  Jupyter Notebooks for Miranda and Fackler

  Language:Jupyter Notebook971514

• vgregory757/KhanThomas

  Julia code for solving Khan and Thomas (2008) in continuous time

  Language:Jupyter Notebook8202

• jtilly/very-simple-empirics-sandbox

  Matlab Sandbox for Abbring, Campbell, Tilly, Yang: Very Simple Markov-Perfect Industry Dynamics

  Language:MATLAB6233

• jtilly/very-simple-theory-replication

  Replication Materials for "Very Simple Markov-Perfect Industry Dynamics: Theory"

  Language:R6205

• joelmcmurry/computational_macro_jl

  Language:Julia34

• mvaz/financial-notebooks

  A collection of IPython notebooks on the topic of financial analytics

  3200

• forrestsheldon/neurodynamics

  Homework and notes for BGGN 260 at UCSD Fall 2013

  Language:TeX2302

• alfredjmduncan/repec-groupquery

  This Julia script downloads and formats lists of RePEc article entries for groups of authors.

  Language:Julia1300

• rolfgroeneveld/PerturbationJuddAndGuu

  Python versions of perturbation methods presented in paper by Judd and Guu

  Language:Python1201