Modules with classes and functions for Computational literary text analysis, particularly a novella history
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Updated
Jun 5, 2024 - Python
Modules with classes and functions for Computational literary text analysis, particularly a novella history
mirror of the MeDIL Python package for causal modeling
Transparent and Efficient Financial Analysis
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
多因子指数增强策略/多因子全流程实现
Scalable Ultra-Sparse Bayesian PCA
A Python module to perform exploratory & confirmatory factor analyses.
GPU-accelerated Factors analysis library and Backtester
Sparse Bayesian Multidimensional Item Response Theory
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.
Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Mixture of Factor Analyzers (MFA).
Code used in blog post about dimensionality reduction using Python
Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.
Deep learning-based estimation and inference for item response theory models.
Custom utility functions for exploratory factor analysis with the factor_analyzer package.
Correspondence Analysis with python
Return On Invested Capital - This repository contains files that demonstrate Quantitative systematic investment strategy using Return On Invested Capital as a single factor strategy.
Random Walk Alpha Detector (RWAD) is a quantitative framework used for factor analysis, stock prediction, stock trade and backtest.
Implementation of mixture model, parameters estimated by EM algorithm. ~/Goto/Project/Page/👇
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
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