Simon Scheidegger

Deep_Learning_for_Solving_And_Estimating_Dynamic_Economic_Models. Jupyter Notebook

DeepEquilibriumNets. Jupyter Notebook

SummerSchool_DL_Turin_2025. Summer School on Deep Learning in Economics and Finance

Deep_Learning_For_Dynamic_Econ. Jupyter Notebook

global_solution_yale19. C++

OSE2019. C++

crest_comp_econ. Jupyter Notebook

OSM2018. Fortran

global_solution_methods_Rochester. C++

OSM_Lab. Introduction to parallel programming in economics and finance

Deep_Learning_Intro. Jupyter Notebook

Deep_Learning_Geneva_2025. Jupyter Notebook

CompEcon2020. Computational Economics Course 2020 by Kenneth Judd

python_intro. Python

self_justified_equilibria. Julia

DEQN_Galo_03_2026. Jupyter Notebook

JPE_Macro_Using_ML_to_compute_constrained_optimal_carbon_tax_rules. Python

awesome-generative-ai-guide. A one stop repository for generative AI research updates, interview resources, notebooks and much more!

python-training. Python training for business analysts and traders

udlbook. Understanding Deep Learning - Simon J.D. Prince

machine-learning-for-trading. Code for Machine Learning for Algorithmic Trading, 2nd edition.

DynamicProgramming2024. TeX

DP_growth_kerk. Fortran

d2l-en. Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

SummerSchool2019. CSCS HPC Summer School 2019

ClimateBench. Jupyter Notebook

cemracs2026_DEQN. Jupyter Notebook