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scikit-optimize icon scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

seaborn-tutorial icon seaborn-tutorial

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

seisbench icon seisbench

SeisBench - The Seismology Benchmark collection

sentencepairmatch_machinelearning icon sentencepairmatch_machinelearning

用机器学习算法实现了一种有监督的句子对匹配方法,使用的机器学习分类算法有:逻辑回归(LR)、SVM、GBDT和随机森林(RandomForest),使用的工具是Sklearn。

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

siml icon siml

Machine Learning algorithms implemented from scratch

simplegp icon simplegp

Simple Genetic Programming for Symbolic Regression in Python3

sissokit icon sissokit

Modules for cross validation, evaluation and plot of SISSO

skillmetrics icon skillmetrics

A Python library for calculating and displaying the skill of model predictions against observations.

sklearn-deap icon sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

sklearn-svm icon sklearn-svm

支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等

skorch icon skorch

A scikit-learn compatible neural network library that wraps PyTorch

sktime icon sktime

A unified framework for machine learning with time series

sktime-dl icon sktime-dl

sktime companion package for deep learning based on TensorFlow

smac3 icon smac3

Sequential Model-based Algorithm Configuration

sonnet icon sonnet

TensorFlow-based neural network library

statannotations icon statannotations

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

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