yangycpku

yangycpku's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook41.1k426694.4k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.7k962181.9k

• allenai/s2orc

  S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/

  Language:Python857254466

• kolesarm/539b

  (Advanced) Applied Econometrics

  2616053

• shokru/mlfactor.github.io

  Website dedicated to a book on machine learning for factor investing

  Language:HTML2121929101

• DynareJulia/Dynare.jl

  A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

  Language:Julia100102921

• OpenSourceEcon/CompMethods

  "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

  Language:Python851012

• gboehl/econpizza

  Solve nonlinear heterogeneous agent models

  Language:Python814517

• cykbennie/fbi

  Factor-Based Imputation for Missing Data

  Language:R562314

• dseconf/DSE2024

  Lecture and conference materials for the DSE2024 at University of Wisconsin-Madison

  Language:Jupyter Notebook396140

• PaulFackler/CompEcon

  CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).

  Language:Matlab325031

• frankhan91/DeepHAM

  Language:Python313012

• amckay/HetAgentsv2

  Julia programs associated with notes on heterogeneous agent macro (v2)

  Language:Julia28104

• shade-econ/goethe-workshop-2024

  Code for the Goethe Heterogeneous-Agent Macro Workshop, June 2024

  Language:Jupyter Notebook28004

• shade-econ/annual-review

  Code for "Fiscal and Monetary Policy with Heterogeneous Agents" (Auclert, Rognlie, Straub 2024)

  Language:Jupyter Notebook27106

• NumEconCopenhagen/MiniCourse-HetAMacro

  Language:Jupyter Notebook261011

• jstac/minnesota_2023

  Advanced dynamic programming

  Language:Jupyter Notebook255012

• tseep/estimating-hank-nn

  Language:Python25205

• mrognlie/econ411-3

  Northwestern PhD class on macroeconomics with heterogeneity, particularly household heterogeneity and HANK models

  Language:Jupyter Notebook22104

• sischei/Deep_Learning_For_Dynamic_Econ

  Language:Jupyter Notebook22107

• jborovicka/nyu-computational-dynamics

  Computational Dynamics course, MSQE program

  Language:Jupyter Notebook13106

• DeepSurrogate/OptionPricing

  Language:Jupyter Notebook121010

• jmarbet/inequality-zlb

  Language:Julia12203

• schaab-teaching/DynamicProgramming2024

  Language:TeX110011

• hanbaeklee/ComputationLab

  Computation lab

  Language:MATLAB10300

• vduarte/benchmarkingML

  Language:Jupyter Notebook10309

• marcdelabarrera/nndp

  Dynamic Programming with Neural Networks

  Language:Python5335

• HighDimensionalEconLab/transversality

  Language:Jupyter Notebook3100

• MatiasCovarrubias/jaxecon

  Solution methods for dynamic economic models written in Jax

  Language:Jupyter Notebook310

• ClimateChangeEcon/Can_Todays_and_Tomorrows_World_Uniformly_Gain_from_Carbon_Taxation

  Replication package of the paper

  Language:Jupyter Notebook1100