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集合主题趋势排行榜
#

random-forest

Website
Wikipedia
https://static.github-zh.com/github_avatars/EpistasisLab?size=40
EpistasisLab / tpot

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

机器学习Python数据科学automl自动化scikit-learnhyperparameter-optimizationmodel-selectionparameter-tuningautomated-machine-learningrandom-forestgradient-boostingfeature-engineering
Jupyter Notebook 9.92 k
1 个月前
https://static.github-zh.com/github_avatars/h2oai?size=40
h2oai / h2o-3

#计算机科学#H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...

h2o机器学习数据科学深度学习big-dataensemble-learninggbmrandom-forestnaive-bayespcaOpen SourcedistributedJavaPythonRhadoopApache Sparkgpuautoml
Jupyter Notebook 7.2 k
1 天前
biolab/orange3
https://static.github-zh.com/github_avatars/biolab?size=40
biolab / orange3

#计算机科学#🍊 📊 💡 Orange: Interactive data analysis

data-mining数据科学机器学习数据可视化orangePythonscikit-learnNumPySciPypandasdecision-treesclustering可视化random-forestplottingclassificationregressionvisual-programming
Python 5.22 k
3 天前
https://static.github-zh.com/github_avatars/susanli2016?size=40
susanli2016 / Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

linear-regressionlogistic-regressiondecision-treesrandom-forestsvmknn-classificationnaive-bayes-classifierhierarchical-clusteringpcalda
Jupyter Notebook 4.44 k
11 天前
https://static.github-zh.com/github_avatars/microsoft?size=40
microsoft / FLAML

#自然语言处理#A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automlhyperparamautomated-machine-learning机器学习数据科学PythonJupyter Notebookhyperparameter-optimizationrandom-forestscikit-learn深度学习自然语言处理natural-language-generationtimeseries-forecastingclassificationregressiontuningfinetuningtabular-data
Jupyter Notebook 4.15 k
19 天前
https://static.github-zh.com/github_avatars/tirthajyoti?size=40
tirthajyoti / Machine-Learning-with-Python

#计算机科学#Practice and tutorial-style notebooks covering wide variety of machine learning techniques

NumPy统计pandasmatplotlibregressionscikit-learnclassificationclusteringdecision-treesrandom-forestdimensionality-reduction神经网络深度学习人工智能数据科学机器学习k-nearest-neighboursnaive-bayespytestFlask
Jupyter Notebook 3.22 k
2 年前
mljar/mljar-supervised
https://static.github-zh.com/github_avatars/mljar?size=40
mljar / mljar-supervised

#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automl机器学习mljar数据科学scikit-learnhyperparameter-optimizationfeature-engineeringxgboostrandom-forest神经网络lightgbmcatboostensembledecision-treeautomated-machine-learning
Python 3.16 k
2 个月前
https://static.github-zh.com/github_avatars/parrt?size=40
parrt / dtreeviz

#计算机科学#A python library for decision tree visualization and model interpretation.

机器学习scikit-learnPython数据科学xgboostdecision-trees可视化random-forestmodel-interpretation
Jupyter Notebook 3.08 k
3 个月前
benedekrozemberczki/awesome-decision-tree-papers
https://static.github-zh.com/github_avatars/benedekrozemberczki?size=40
benedekrozemberczki / awesome-decision-tree-papers

#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.

decision-treedecision-tree-classifiergradient-boostinggradient-boosting-machineregression-treecart机器学习machine-learning-researchrandom-forestxgboostlightgbmcatboostclassification-modelclassifierensemble-learningstatistical-learning
Python 2.4 k
1 年前
https://static.github-zh.com/github_avatars/szilard?size=40
szilard / benchm-ml

#计算机科学#A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algor...

机器学习数据科学RPythongradient-boosting-machinerandom-forest深度学习xgboosth2oApache Spark
R 1.89 k
3 年前
https://static.github-zh.com/github_avatars/kk7nc?size=40
kk7nc / Text_Classification

#计算机科学#Text Classification Algorithms: A Survey

text-classification自然语言处理document-classificationtext-processingdimensionality-reductionrocchio-algorithmboosting-algorithmslogistic-regressionnaive-bayes-classifierk-nearest-neighbourssupport-vector-machinesdecision-treesrandom-forest深度学习深度神经网络recurrent-neural-networksconvolutional-neural-networks
Python 1.81 k
2 个月前
benedekrozemberczki/awesome-fraud-detection-papers
https://static.github-zh.com/github_avatars/benedekrozemberczki?size=40
benedekrozemberczki / awesome-fraud-detection-papers

#计算机科学#A curated list of data mining papers about fraud detection.

fraud-detectionfraud-preventionfraud-managementclassification数据科学深度学习random-forestgradient-boostingdata-miningclassifierlogistic-regression
Python 1.71 k
1 年前
https://static.github-zh.com/github_avatars/lxztju?size=40
lxztju / pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

PyTorchimage-classification部署svmknncnndensenetresnextresnetFlaskrandom-forestknowledge-distillation
Jupyter Notebook 1.43 k
2 年前
https://static.github-zh.com/github_avatars/kingfengji?size=40
kingfengji / gcForest

#计算机科学#This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

机器学习random-forestensemble-learning
Python 1.31 k
4 年前
https://static.github-zh.com/github_avatars/LiYangHart?size=40
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

#计算机科学#Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

hyperparameter-optimization机器学习hyperparameter-tuningtuning-parametersrandom-searchoptimizationbayesian-optimizationgenetic-algorithmparticle-swarm-optimizationrandom-forest深度学习artificial-neural-networksautomlautomated-machine-learning
Jupyter Notebook 1.29 k
3 年前
https://static.github-zh.com/github_avatars/nivu?size=40
nivu / ai_all_resources

#计算机科学#A curated list of Best Artificial Intelligence Resources

机器学习regressionneural-networksTensorflow数据科学decision-trees深度学习数学人工智能rnnGenerative Adversarial Networkreinforcement-learningconvolutional-neural-networkssupport-vector-machinerandom-forestknnkmeansPython统计
Jupyter Notebook 1.22 k
9 个月前
automl/SMAC3
https://static.github-zh.com/github_avatars/automl?size=40
automl / SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

bayesian-optimizationhyperparameter-optimizationhyperparameter-tuninghyperparameter-searchconfigurationautomlautomated-machine-learningrandom-forest
Python 1.18 k
4 天前
grf-labs/grf
https://static.github-zh.com/github_avatars/grf-labs?size=40
grf-labs / grf

#计算机科学#Generalized Random Forests

causal-inferencerandom-foresteconometrics机器学习统计
C++ 1.03 k
2 个月前
benedekrozemberczki/awesome-gradient-boosting-papers
https://static.github-zh.com/github_avatars/benedekrozemberczki?size=40
benedekrozemberczki / awesome-gradient-boosting-papers

#计算机科学#A curated list of gradient boosting research papers with implementations.

gradient-boostinggradient-boosting-machinegradient-boosted-treesxgboostcatboostlightgbmrandom-forestdecision-treeclassification-algorithm机器学习深度学习h2oclassifieradaboost
Python 1.02 k
1 年前
https://static.github-zh.com/github_avatars/LAMDA-NJU?size=40
LAMDA-NJU / Deep-Forest

#计算机科学#An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

机器学习ensemble-learningrandom-forestPython
Python 945
1 年前
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