Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
abce
Agent-based computational Economics, the Python library that makes AB modelling easier
AddaAndCooper
Code to solve exercises from Adda and Cooper's "Dynamic Economics" book
AgentesHeterogeneos
Notas y códigos de un curso de como resolver modelos básicos de agentes heterogéneos
AnnEcon
Artificial Neural Networks on Economic Forecasting
awesome-for-beginners
A list of awesome beginners-friendly projects.
awslambda
AWS Lambda
BabyMAKRO
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
franc703's Repositories
franc703/awesome-for-beginners
A list of awesome beginners-friendly projects.
franc703/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
franc703/borusyak_boostrap_se
franc703/causalml
Uplift modeling and causal inference with machine learning algorithms
franc703/Demand-Estimation
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
franc703/DSGE_mod
A collection of Dynare models
franc703/easystats
:milky_way: The R easystats-project
franc703/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in
franc703/ecrq_stats
franc703/EmpiricalIO
franc703/franc703.github.io
franc703/GaR
Package to implement Growth at Risk (GaR) in python
franc703/general_equilibrium
franc703/Labor-Econ
franc703/lda_api
This repository creates an api to implement LDA on text
franc703/MEF-Clases
franc703/meinyenura
shared notebooks and codes
franc703/micro_macro_models
franc703/my-portfolio
My personal website
franc703/my_portfolio
franc703/NumericalMethodsJulia
franc703/place_holder
franc703/project-based-learning
Curated list of project-based tutorials
franc703/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
franc703/Quant_Econ
franc703/Quantitative-Macroeconomics
Course on Quantitative Macroeconomics (Master/PhD level)
franc703/RQuartoTaks
franc703/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
franc703/SPIdownload
franc703/test_spacy
test spacy module