parameter-tuning · GitHub Topics

#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

翻译 - 一个Python自动化机器学习工具，可使用基因编程来优化机器学习管道。

机器学习 Python 数据科学 automl 自动化 scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering

Jupyter Notebook 9.88 k

2 个月前

databricks / spark-sklearn

#计算机科学#(Deprecated) Scikit-learn integration package for Apache Spark

Apache Spark scikit-learn parameter-tuning 机器学习

Python 1.08 k

5 年前

sberbank-ai-lab / LightAutoML

#自然语言处理#LAMA - automatic model creation framework

automl classification regression PyTorch 自然语言处理 model-selection parameter-tuning automated-machine-learning lama pipeline 数据科学 feature-engineering stacking kaggle gradient-boosting blackbox

Python 924

3 年前

aimclub / FEDOT

#计算机科学#Automated modeling and machine learning framework FEDOT

automl 机器学习 evolutionary-algorithms automated-machine-learning hyperparameter-optimization parameter-tuning 自动化 multimodality

Python 665

3 天前

cerlymarco / shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap

Jupyter Notebook 577

10 个月前

SimonBlanke / Hyperactive

#计算机科学#An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

hyperparameter-optimization scikit-learn 机器学习 Python 数据科学 parameter-tuning xgboost Keras 深度学习 bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization PyTorch feature-engineering model-selection

Python 517

1 天前

EpistasisLab / tpot2

#计算机科学#A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

automated-machine-learning 自动化 automl 数据科学 feature-engineering gradient-boosting hyperparameter-optimization 机器学习 model-selection parameter-tuning Python random-forest scikit-learn

Jupyter Notebook 229

2 个月前

baggepinnen / Hyperopt.jl

Hyperparameter optimization in Julia.

hyperparameter-optimization optimization parameter-tuning bayesian-optimization

Julia 200

1 年前

openmole / openmole

Workflow engine for exploration of simulation models using high throughput computing

Scala workflow modeling-tool distributed-computing scientific-computing workflow-engine grid parameter-tuning parameter-estimation

Scala 144

2 天前

jfcg / sorty

⚡ Fast Concurrent / Parallel Sorting in Go

concurrency Go sorting parameter-tuning parallelism

Go 136

1 年前

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Selec...

stock prediction predictive-modeling knn-classifier adaboost decision-tree parameter-tuning pipeline random-forest logistic-regression algorithmic-trading stocks

Jupyter Notebook 134

3 年前

HAL-42 / AlchemyCat

#计算机科学#Alchemy Cat —— 🔥Config System for SOTA

auto-tuning 机器视觉 configuration 深度学习机器学习 parameter-tuning

Python 115

24 天前

openmole / mgo

Purely functional genetic algorithms for multi-objective optimisation

genetic-algorithm Scala optimisation 函数式编程 parameter-tuning hyperparameter-optimization hyperparameter-tuning

Scala 72

1 个月前

aimclub / iOpt

Framework of intelligent optimization methods iOpt

hyperparameter-optimization parameter-tuning

Python 54

3 个月前

fugue-project / tune

#计算机科学#An abstraction layer for parameter tuning

parameter-tuning hyperparameter-tuning hyperparameter-optimization 机器学习 distributed-computing distributed distributed-systems

Python 35

7 个月前

AmiiThinks / AlphaEx

A Python Toolkit for Managing a Large Number of Experiments

experiment Python parameter-tuning

Python 32

1 年前

lasgroup / gosafeopt

Globally Safe Model-free Exploration of Dynamical Systems

bayesian-optimization parameter-tuning

Python 31

5 个月前

NikhilaThota / CapstoneProject_House_Prices_Prediction

#计算机科学#Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear...

Python linear-regression 数据可视化数据分析 predictive-modeling 机器学习 correlation data-extraction data-exploration encoding-library regularization parameter-tuning cross-validation

Jupyter Notebook 25

7 年前