手写实现李航《统计学习方法》书中全部算法
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Updated
Nov 25, 2025 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
手写实现李航《统计学习方法》书中全部算法
A resource for learning about Machine learning & Deep Learning
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Minimal and clean examples of machine learning algorithms implementations
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💬 Machine Learning Course with Python:
NVIDIA cuML: GPU-Accelerated Machine Learning
An open-source Python framework for hybrid quantum-classical machine learning.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
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记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
The machine learning toolkit for time series analysis in Python
A modular active learning framework for Python
Implementing machine learning algorithms from scratch.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Implementation of the node2vec algorithm.
用python和sklearn两种方法实现李航《统计学习方法》中的算法
a delightful machine learning tool that allows you to train, test, and use models without writing code
Books and other resources
Learning to create Machine Learning Algorithms