Extends scikit-learn with new models, transformers, metrics, plotting.
MIT License
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Published by sdpython about 1 month ago
Published by xadupre 12 months ago
Published by sdpython over 1 year ago
Fixes compilation with scikit-learn 1.3.0
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Implementation of different ML Algorithms from scratch, written in Python 3.x
[UNMAINTAINED] Automated machine learning for analytics & production
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and...
Google Colaboratory Notebooks and Repositories (by @firmai)
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Pytho...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Implementations of the machine learning algorithm with Python and numpy
Unsupervised Language Modeling at scale for robust sentiment classification
Mathematics, Algorithmic, Data-Science, Teaching Materials
机器学习原理
Machine learning, in numpy
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...