Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
MIT License
splearn: package for signal processing and machine learning with Python. Contains tutorials on un...
This is repository for DeepLearning Study in Kyung Hee University
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Machine learning, in numpy
Repository for GirlScript Winter Mentorship Programme for Machine Learning
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Naive Bayes with support for categorical and continuous data
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC D...
Python implementations of the Boruta all-relevant feature selection method.
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
Explore the double-descent phenomena in the context of system identification. Companion code to t...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Random feature latent variable models in Python