xiemeigongzi Goto Github PK

inside-deep-learning

Inside Deep Learning: The math, the algorithms, the models

intermediatepython

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-ml-book

Book about interpretable machine learning

intro_dgm

An Introduction to Deep Generative Modeling: Examples

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

it-ebooks-archive

:books: 计算机开放电子书（不完全）汇总

java-

Java learning record

java_books

Java 编程书籍分享

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

keyphrase_extraction

Dataset and Source code of paper 'Enhancing Keyphrase Extraction from Academic Articles with their Reference Information'.

keywordextractor-datasets

kmeans-feature-importance

Adding feature_importances_ property to sklearn.cluster.KMeans class

knn-pvldb

Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"

latexify_py

Generates LaTeX math description from Python functions.

lime

Lime: Explaining the predictions of any machine learning classifier

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

mace

Model Agnostic Counterfactual Explanations

machine-learning

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-from-the-ground-up

Machine learning models implemented from the ground up.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine_learning_beginner

机器学习初学者公众号作品

machine_learning_bookshelf

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

manifold-restricted-shapley

mastering-pytorch

Mastering PyTorch, published by Packt

medium-blog

Code files for my medium blog

ml-murphy

Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy