shtopane

shtopane's Stars

• yamadashy/repomix

  📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.

  Language:TypeScript4.9k225

• edwardtkim/intangiblevalue

  96

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  Language:Jupyter Notebook22.3k3.7k

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.6k2.8k

• evanw/esbuild

  An extremely fast bundler for the web

  Language:Go38.3k1.2k

• JuliaDataScience/JuliaDataScience

  Book on Julia for Data Science

  Language:Julia47891

• gregkaplan/phact

  Language:Matlab10269

• jesusfv/Comparison-Programming-Languages-Economics

  A Comparison of Programming Languages in Economics

  Language:C++261131

• bankofcanada/StateSpaceEcon.jl

  Language:Julia519

• modernjuliaworkflows/modernjuliaworkflows.github.io

  Blog posts on best practices for Julia development

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• schrimpf/econ_journal_code

  Find articles in economics journals that include Julia code.

  Language:Julia31

• econ-ark/BayerLuetticke

  Language:OpenEdge ABL1214

• shade-econ/sequence-jacobian

  A unified framework to solve and analyze heterogeneous-agent macro models.

  Language:Jupyter Notebook253149

• econ-ark/KrusellSmith

  Language:Jupyter Notebook1410

• BASEforHANK/BASEtoolbox_KrusellSmith.jl

  Language:Jupyter Notebook144

• vasudeva-ram/Julia-SSJ

  Training material to help solve Heterogeneous agent New Keynesian (HANK) models in Julia using the Sequence Space Jacobian method (Auclert et. al., 2021)..

  Language:Julia123

• JohannesPfeifer/winberryAlgorithmCodes

  Dynare codes for A Method for Solving and Estimating Heterogeneous Agent Macro Models

  Language:MATLAB149

• ralphluet/perturbation_codes

  This code produces the results of the paper: Christian Bayer, Ralph Luetticke (2020). Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. Quantitative Economics

  Language:MATLAB2612

• ralphluet/KS_Perturbation_vs_MIT

  This code solves the Krusell-Smith model in two ways: Perturbation and MIT shock. More details on the model and the solution approach can be found in the paper: Christian Bayer, Ralph Luetticke (2020). Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. Quantitative Economics

  Language:MATLAB4213

• fredrikekre/Runic.jl

  A code formatter for Julia with rules set in stone.

  Language:Julia1124

• jprodriguesumn/McKayLectureCodes

  Language:Julia3617

• Irenehere/EconNLI

  Language:Jupyter Notebook51

• google-deepmind/chex

  Language:Python79344

• econ-ark/HARK

  Heterogenous Agents Resources & toolKit

  Language:Python336199

• iterative/dvc

  🦉 Data Versioning and ML Experiments

  Language:Python14k1.2k

• danielmiessler/fabric

  fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

  Language:Go25.7k2.7k

• lorae/economics-digest

  An Arctic large language model-backed economics research summarizer. Scrapes 21 websites daily for academic economics research, "reads" the papers and presents a user-friendly interface to interact with the LLM on a Streamlit app.

  Language:Python2

• IMFS-MMB/mmb-rep

  Macroeconomic modelling database (MMB) replication files archive

  Language:MATLAB4731

• randall-romero/CompEcon

  A Python version of Miranda and Fackler's CompEcon toolbox

  Language:Jupyter Notebook6324

• letsgoexploring/computational-macroeconomics

  Resources for undergraduate course in computational macroeconomics.

  Language:Jupyter Notebook7231