banking-project / banksim
BankSim is a banking agent-based simulation framework developed in Python
☆13Updated 7 years ago
Alternatives and similar repositories for banksim:
Users that are interested in banksim are comparing it to the libraries listed below
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Performs unique entity estimation corresponding to Chen, Shrivastava, Steorts (2018).☆14Updated 6 years ago
- Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied M…☆43Updated 5 years ago
- Fit Sparse Synthetic Control Models in Python☆80Updated 10 months ago
- Network visualization with Gephi: tutorial and example data files☆15Updated 8 years ago
- A text processing pipeline for turning unstructured text data into hierarchical datasets☆14Updated 4 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- ☆18Updated 4 years ago
- Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"☆18Updated 5 years ago
- Unstructured Code with interesting analysis☆35Updated 4 months ago
- A machine learning toolkit for economists☆18Updated 9 years ago
- Syllabus for Business Strategy and Analytics in Masters of Business Analytics☆9Updated 2 months ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago
- Demonstrations of how to use material in the Econ-ARK☆34Updated 3 months ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Statistical inference on machine learning or general non-parametric models☆44Updated 9 months ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆18Updated 7 years ago
- Code for blog posts.☆19Updated last year
- Fast, flexible name matching for large datasets☆70Updated last year
- A python library for the computation of various concentration, inequality and diversity indices☆43Updated 3 weeks ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- https://duyet.github.io/related-skills-visualization/index.html☆11Updated 4 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 4 years ago
- Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.☆8Updated 6 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin☆15Updated 3 years ago
- A curated list of resources on credit card fraud detection.☆15Updated 3 years ago
- Pre-processes lending club loan data and concatenates into one large file.☆40Updated 5 years ago