sischei

DeepEquilibriumNets

global_solution_yale19

crest_comp_econ

Deep_Learning_Intro

CompEcon2020

Computational Economics Course 2020 by Kenneth Judd

ClimateBench

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.

python-training

Python training for business analysts and traders

udlbook

Understanding Deep Learning - Simon J.D. Prince

14_462

Repo for 14_462 Adv. Macroeconomics at MIT

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Deep-Learning-with-TensorFlow-2-and-Keras

Deep Learning with TensorFlow 2 and Keras, published by Packt

DSE2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

dse_workshop

DSE Conference DP Workshop 2022

ensemble-methods-notebooks

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2020)

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

fvGP

A software package for flexible HPC GPs

HPC-Tutorials

Future home of hpc-tutorials.llnl.gov

international_trade

mesmer

spatially-resolved ESM-specific multi-scenario initial-condition ensemble emulator

ModellingClimateUncertainty

This is the course material for the Clifirium 2023 conference at the Banque de France

models

Models and examples built with TensorFlow

Notebooks

Jupyter notebooks authored by Richard Evans

OptionPricing

ose-course-scientific-computing

course on the basics of scientific computing for economists

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

PythonHPC

PythonHPC

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow-training

Multi-GPU training with TensorFlow on Piz Daint