apachecn/ailearningGitHub
calls ml “Minimal code for classic ML algorithms; choose for the simplest reference implementations but not for explanations or DL.”
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
42.5kPythondormant
luokn/ml Alternatives
ml is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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These projects were analysed and named ml among their alternatives. The relationship is not symmetric — how ml rates them is a separate judgement, made when ml is analysed in its own right.
Jack-Cherish/Machine-LearningGitHub
calls ml “For a minimal GPL-licensed Python reference of classic ML implementations, though it has no book-style walkthroughs and is unmaintained.”
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
10.4kPythondormant