A scikit-learn compatible implementation of MCA
MIT License
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Early Text Classification in Python
Deep Canonical Correlation Analysis with Python
Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observatio...
Implementations of the machine learning algorithm with Python and numpy
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality red...
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn pac...
Metric learning algorithms in Python
Deep & Sparse CCA for Neuroimaging in Tensorflow
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Python code for the paper "Binary classification as a phase separation process", by Rafael Montei...