random-forest

There are 13 repositories under random-forest topic.

EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering xgboost
Language:Python 8623
h2oai / h2o-3
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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca opensource distributed java python r hadoop spark gpu automl h2o-automl
Language:Jupyter Notebook 5867
susanli2016 / Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm
Language:Jupyter Notebook 3595
orange3
biolab / orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
data-mining data-science machine-learning data-visualization orange python scikit-learn numpy scipy pandas decision-trees clustering visualization orange3 random-forest plotting classification regression visual-programming
Language:Python 3475
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
artificial-intelligence classification clustering data-science decision-trees deep-learning dimensionality-reduction flask k-nearest-neighbours machine-learning matplotlib naive-bayes neural-network numpy pandas pytest random-forest regression scikit-learn statistics
Language:Jupyter Notebook 2406
parrt / dtreeviz
A python library for decision tree visualization and model interpretation.
data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost
Language:Jupyter Notebook 2127
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
cart catboost classification-model classification-trees classifier decision-tree decision-tree-classifier decision-tree-learning decision-tree-model ensemble-learning gradient-boosting gradient-boosting-machine lightgbm machine-learning machine-learning-research random-forest regression-tree statistical-learning tree-ensemble xgboost
Language:Python 1989
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 1938
microsoft / FLAML
A fast library for AutoML and tuning.
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn deep-learning natural-language-processing natural-language-generation timeseries-forecasting classification regression tuning finetuning tabular-data
Language:Jupyter Notebook 1910
szilard / benchm-ml
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 algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
machine-learning data-science r python gradient-boosting-machine random-forest deep-learning xgboost h2o spark
Language:R 1837
kk7nc / Text_Classification
Text Classification Algorithms: A Survey
boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing
Language:Python 1566
kingfengji / gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
machine-learning random-forest ensemble-learning deep-forest
Language:Python 1267
awesome-fraud-detection-papers
benedekrozemberczki / awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
fraud-detection fraud-prevention fraud-checker fraud-management fraud-explorer classification data-science churn credit-scoring deep-learning random-forest gradient-boosting data-mining link-prediction graph-classification classifier logistic-regression credit-card-fraud credit-card-validation credit-card-fraud-detection
Language:Python 1140
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 949
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
cnn densenet deployment flask image-classification knn knowledge-distillation label-smoothing pytorch random-forest resnet resnext svm
Language:Jupyter Notebook 921
awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting
Language:Python 798
nickgillian / grt
gesture recognition toolkit
gesture-recognition grt machine-learning gesture-recognition-toolkit support-vector-machine random-forest kmeans dynamic-time-warping softmax linear-regression
Language:C++ 777
LAMDA-NJU / Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
deep-forest ensemble-learning machine-learning python random-forest
Language:Python 763
grf-labs / grf
Generalized Random Forests
causal-inference random-forest
Language:C++ 719
SMAC3
automl / SMAC3
Sequential Model-based Algorithm Configuration
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 704
Xtra-Computing / thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
cuda gpu gbdt random-forest machine-learning
Language:C++ 624
machinelearnjs / machinelearnjs
Machine Learning library for the web and Node.
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing probabilistic-models structured-data
Language:TypeScript 509
tensorflow / decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
python machine-learning random-forest tensorflow ml decision-trees gradient-boosting interpretability decision-forest keras
Language:Python 468
ledell / useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r
Language:Jupyter Notebook 397
kLabUM / rrcf
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
anomaly-detection detect-outliers machine-learning outliers python random-forest robust-random-cut-forest streaming-data tree
Language:Python 383
serengil / chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 c45-trees cart regression-tree gbm data-mining gradient-boosting-machines data-science kaggle gbdt gbrt machine-learning python categorical-features
Language:Python 335
mdabros / SharpLearning
Machine learning for C# .Net
adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest
Language:C# 324
jmartinezheras / 2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
machinelearning machine-learning linear-regression support-vector-machines decision-trees random-forest neural-network deep-learning clustering pca anomaly-detection text-mining tf-idf topic-modeling lectures lecture-slides lecture-material lecture-videos
Language:Jupyter Notebook 310
rickiepark / handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
deep-learning machine-learning tensorflow scikit-learn python neural-network recurrent-neural-networks reinforcement-learning autoencoder deep-neural-networks ensemble-learning svm random-forest gradient-boosting xgboost
Language:Jupyter Notebook 280
Skylark0924 / Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
deep-reinforcement-learning keras pytorch tensorflow convolutional-neural-networks lstm dqn ddpg actor-critic ppo trpo qlearning logistic-regression support-vector-machine k-nearest-neighbours naive-bayes-classifier decision-trees random-forest gan resnet
Language:Python 269
lagodiuk / decision-tree-js
Small JavaScript implementation of ID3 Decision tree
decision-tree machine-learning random-forest
Language:JavaScript 267
sanity / quickml
A fast and easy to use decision tree learner in java
java machine-learning decision-tree random-forest
Language:Java 230
ShifuML / shifu
An end-to-end machine learning and data mining framework on Hadoop
bigdata end-to-end-machine-learning gbdt hadoop machine-learning neural-network pipeline random-forest shifu
Language:Java 221
jayshah19949596 / Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
machine-learning-algorithms naive-bayes-classifier decision-trees random-forest dynamic-time-warping gaussian-mixture-models em-algorithm logistic-regression linear-regression principal-component-analysis singular-value-decomposition gaussian-classifier knn knn-classification kmeans-clustering kmeans kmeans-algorithm supervised-learning value-iteration-algorithm neural-network
Language:MATLAB 220
emlearn / emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
machine-learning random-forest classifier embedded-systems microcontroller scikit-learn c python inference neural-networks keras tensorflow tinyml sklearn
Language:Python 219
nivu / ai_all_resources
A curated list of Best Artificial Intelligence Resources
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn gan reinforcement-learning convolutional-neural-networks support-vector-machine random-forest knn kmeans statquest python statistics
Language:Jupyter Notebook 217

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