Firmin Ayivodji's repositories
anatomy
Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
BCF-Workshop
Materials for the mini-course on deep learning and macro-finance.
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
cemfi-presession-2023
Pre-session materials for the 2023 Unstructured Data in Empirical Economics at CEMFI
CentralBankRoBERTa
CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary sentiment classifier that identifies the emotional content of sentences in central bank communications.
Course-Text-Data-2023
Materials for PhD/Master Course "Text Data in Business and Economics"
course-unstructured-data-23
Materials for the 2023 Unstructured Data in Empirical Economics course at CEMFI
Crystal-Ball-Minimal-Working-Example
A MWE for the approach used in Byrne, Goodhead, McMahon, Parle (2022) and its companion paper.
DSGE_mod
A collection of Dynare models
END-to-END-LDA-in-Python
Practical introduction to LDA modeling with bigram frequencies in Python
firminayivodji.github.io
Build a Jekyll blog in minutes, without touching the command line.
FRA_IESE_seminar_2023
Materials for the 2023 Fundación Ramón Areces - IESE Machine Learning for Textual and Unstructured Data seminar
GPT3_Demos
some demos of gpt3
imf_2024
Computational economics workshop at the IMF, March 2024
machine_learning_full
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
nber-workshop-2023
Code for the Spring 2023 NBER heterogeneous-agent macro workshop
nndp
Dynamic Programming with Neural Networks
pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
pq_parsers
Script to parse text file downloads from ProQuest's Global Newsstream database into CSV of metadata and full text.
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python-Text-Analysis
D-Lab's 12 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, Gensim, and spaCy in Python.
Short-Rate-Forecasting
This repository contains all the analysis for my master's thesis
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
topic-modelling-tools
Topic Modelling with Latent Dirichlet Allocation using Gibbs sampling
Twitter_API_PY
examples of using Twitter API
Weak-DID
Weak overlap in Differnce-in-Differences(DID)