random-forest

There are 29 repositories under random-forest topic.

EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Language:Jupyter Notebook 9979
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 7279
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 5333
susanli2016 / Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm
Language:Jupyter Notebook 4491
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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 4207
tirthajyoti / Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
numpy statistics pandas matplotlib regression scikit-learn classification clustering decision-trees random-forest dimensionality-reduction neural-network deep-learning artificial-intelligence data-science machine-learning k-nearest-neighbours naive-bayes pytest flask
Language:Jupyter Notebook 3250
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automl automl-api automl-python catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar neural-network random-forest scikit-learn xgboost
Language:Python 3200
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 3041
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Language:Python 2423
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.).
data-science deep-learning gradient-boosting-machine h2o machine-learning python r random-forest spark xgboost
Language:R 1890
kk7nc / Text_Classification
Text Classification Algorithms: A Survey
text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours support-vector-machines decision-trees random-forest conditional-random-fields deep-learning deep-neural-network recurrent-neural-networks convolutional-neural-networks deep-belief-network hierarchical-attention-networks
Language:Python 1820
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 1734
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
pytorch image-classification deployment svm knn cnn label-smoothing densenet resnext resnet flask random-forest knowledge-distillation
Language:Jupyter Notebook 1444
kingfengji / gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
deep-forest ensemble-learning machine-learning random-forest
Language:Python 1309
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 random-forest python-examples python-samples deep-learning artificial-neural-networks machine-learning-optimization automl automated-machine-learning
Language:Jupyter Notebook 1309
SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1194
nivu / ai_all_resources
A curated list of Best Artificial Intelligence Resources
artificial-intelligence convolutional-neural-networks data-science decision-trees deep-learning gan kmeans knn machine-learning mathematics neural-networks python random-forest regression reinforcement-learning rnn statistics statquest support-vector-machine tensorflow
Language:Jupyter Notebook 1185
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 1026
grf
grf-labs / grf
Generalized Random Forests
causal-forest causal-inference econometrics machine-learning random-forest statistics
Language:C++ 1006
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 939
nickgillian / grt
gesture recognition toolkit
dynamic-time-warping gesture-recognition gesture-recognition-toolkit grt kmeans linear-regression machine-learning random-forest softmax support-vector-machine
Language:C++ 867
Xtra-Computing / thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
cuda gpu gbdt random-forest machine-learning
Language:C++ 705
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 691
google / yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
cpp cli tensorflow machine-learning ml decision-trees decision-forest random-forest gradient-boosting cart interpretability distributed-computing go javascript pypi python
Language:C++ 606
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 604
linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost
Language:Python 542
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 542
Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 522
supertree
mljar / supertree
Visualize decision trees in Python
decision-trees lightgbm random-forest xgboost
Language:Python 508
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 507
serengil / chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, 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 480
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 411
ledell / useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial
Language:Jupyter Notebook 401
mdabros / SharpLearning
Machine learning for C# .Net
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation metrics dotnet machine learning opensource
Language:C# 400
zhaoxingfeng / RandomForest
随机森林，Random Forest（RF）
machine-learning random-forest
Language:Python 396
kochlisGit / ProphitBet-Soccer-Bets-Predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
data-visualization deep-neural-networks feature-analysis feature-importance football-data imbalanced-learn imbalanced-learning interpretability-methods machine-learning-algorithms neural-network optuna pandas-dataframe predictions random-forest seaborn soccer soccer-betting soccer-matches statistics upcoming-games
Language:Python 389

random-forest

EpistasisLab / tpot

h2oai / h2o-3

biolab / orange3

susanli2016 / Machine-Learning-with-Python

microsoft / FLAML

tirthajyoti / Machine-Learning-with-Python

mljar / mljar-supervised

parrt / dtreeviz

benedekrozemberczki / awesome-decision-tree-papers

szilard / benchm-ml

kk7nc / Text_Classification

benedekrozemberczki / awesome-fraud-detection-papers

lxztju / pytorch_classification

kingfengji / gcForest

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

automl / SMAC3

nivu / ai_all_resources

benedekrozemberczki / awesome-gradient-boosting-papers

grf-labs / grf

LAMDA-NJU / Deep-Forest

nickgillian / grt

Xtra-Computing / thundergbm

tensorflow / decision-forests

google / yggdrasil-decision-forests

emlearn / emlearn

linkedin / FastTreeSHAP

machinelearnjs / machinelearnjs

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

mljar / supertree

kLabUM / rrcf

serengil / chefboost

Skylark0924 / Machine-Learning-is-ALL-You-Need

ledell / useR-machine-learning-tutorial

mdabros / SharpLearning

zhaoxingfeng / RandomForest

kochlisGit / ProphitBet-Soccer-Bets-Predictor