Topic: random-forest Goto Github

👇 Here are 6854 public repositories matching this topic...

30lm32 / ml-projects
random-forest,ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
User: 30lm32
keras tensorflow spam-classification random-forest gensim word2vec docker timeseries-analysis imbalanced-data svm kdtree nlp machine-learning geolocation lstm-neural-networks deep-learning text-classification tensorboard mlflow ab-testing

a-martyn / isl-python
random-forest,Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
User: a-martyn
Home Page: https://www.alanmartyn.com
bagging boosting-algorithms bootstrap islr lda linear-regression logistic-regression machine-learning pca random-forest statistical-learning supervised-learning

anothersamwilson / miceforest
random-forest,Multiple Imputation with LightGBM in Python
User: anothersamwilson
random-forest imputed-values mice-algorithm python data-science

automl / smac3
random-forest,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest

aws-samples / aws-machine-learning-university-dte
random-forest,Machine Learning University: Decision Trees and Ensemble Methods
Organization: aws-samples
machine-learning decision-trees tabular-data random-forest boosting xgboost lightgbm catboost

benedekrozemberczki / awesome-decision-tree-papers
random-forest,A collection of research papers on decision, classification and regression trees with implementations.
User: benedekrozemberczki
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost

benedekrozemberczki / awesome-fraud-detection-papers
random-forest,A curated list of data mining papers about fraud detection.
User: benedekrozemberczki
fraud-detection fraud-prevention fraud-checker fraud-management fraud-explorer classification data-science churn credit-scoring deep-learning

benedekrozemberczki / awesome-gradient-boosting-papers
random-forest,A curated list of gradient boosting research papers with implementations.
User: benedekrozemberczki
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest

biolab / orange3
random-forest,🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Organization: biolab
Home Page: https://orangedatamining.com
data-mining data-science machine-learning data-visualization orange python scikit-learn numpy scipy pandas

cerlymarco / linear-tree
random-forest,A python library to build Model Trees with Linear Models at the leaves.
User: cerlymarco
machine-learning tree linear-models decision-trees scikit-learn model-trees random-forest boosting-tree

cynthiakoopman / network-intrusion-detection
random-forest,Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
User: cynthiakoopman
nsl-kdd datamining feature-selection network-intrusion-detection intrusion-detection-system machine-learning kdd99 decision-trees random-forest cross-validation

emlearn / emlearn
random-forest,Machine Learning inference engine for Microcontrollers and Embedded devices
Organization: emlearn
machine-learning random-forest classifier embedded-systems microcontroller scikit-learn c python inference neural-networks

epistasislab / tpot
random-forest,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning

google / yggdrasil-decision-forests
random-forest,A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Organization: google
cpp cli tensorflow machine-learning ml decision-trees decision-forest random-forest gradient-boosting cart

grf-labs / grf
random-forest,Generalized Random Forests
Organization: grf-labs
Home Page: https://grf-labs.github.io/grf/
causal-inference random-forest econometrics machine-learning statistics causal-forest

h2oai / h2o-3
random-forest,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.
Organization: h2oai
Home Page: http://h2o.ai
h2o machine-learning data-science deep-learning big-data ensemble-learning gbm random-forest naive-bayes pca

jayshah19949596 / machine-learning-models
random-forest,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
User: jayshah19949596
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

jmartinezheras / 2018-machinelearning-lectures-esa
random-forest,Machine Learning Lectures at the European Space Agency (ESA) in 2018
User: jmartinezheras
machinelearning machine-learning linear-regression support-vector-machines decision-trees random-forest neural-network deep-learning clustering pca

kingfengji / gcforest
random-forest,This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
User: kingfengji
Home Page: http://lamda.nju.edu.cn/code_gcForest.ashx
deep-forest ensemble-learning machine-learning random-forest

kk7nc / text_classification
random-forest,Text Classification Algorithms: A Survey
User: kk7nc
text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours

klabum / rrcf
random-forest,🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Organization: klabum
Home Page: https://klabum.github.io/rrcf/
outliers detect-outliers tree random-forest machine-learning anomaly-detection streaming-data python robust-random-cut-forest

kochlisgit / prophitbet-soccer-bets-predictor
random-forest,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.
User: kochlisgit
soccer statistics feature-analysis deep-neural-networks feature-importance imbalanced-learning interpretability-methods machine-learning-algorithms neural-network random-forest

lagodiuk / decision-tree-js
random-forest,Small JavaScript implementation of ID3 Decision tree
User: lagodiuk
decision-tree machine-learning random-forest

lamda-nju / deep-forest
random-forest,An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Organization: lamda-nju
Home Page: https://deep-forest.readthedocs.io
machine-learning ensemble-learning deep-forest random-forest python

ledell / user-machine-learning-tutorial
random-forest,useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
User: ledell
machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r

linkedin / fasttreeshap
random-forest,Fast SHAP value computation for interpreting tree-based models
Organization: linkedin
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

liyanghart / hyperparameter-optimization-of-machine-learning-algorithms
random-forest,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization

lxztju / pytorch_classification
random-forest,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
User: lxztju
pytorch image-classification deployment svm knn cnn label-smoothing densenet resnext resnet

machinelearnjs / machinelearnjs
random-forest,Machine Learning library for the web and Node.
Organization: machinelearnjs
Home Page: https://www.machinelearnjs.com/
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing

mdabros / sharplearning
random-forest,Machine learning for C# .Net
User: mdabros
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation

microsoft / flaml
random-forest,A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Organization: microsoft
Home Page: https://microsoft.github.io/FLAML/
automl hyperparam automated-machine-learning machine-learning data-science python jupyter-notebook hyperparameter-optimization random-forest scikit-learn

milaan9 / python_decision_tree_and_random_forest
random-forest,I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
User: milaan9
decision-tree decision-tree-classifier decision-tree-algorithm decision-tree-classification decision-tree-id3 id3-algorithm python-decisiontreeclassifier python-decision-tree python4beginner python4everybody

mljar / mljar-supervised
random-forest,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest

modeloriented / randomforestexplainer
random-forest,A set of tools to understand what is happening inside a Random Forest
Organization: modeloriented
Home Page: https://ModelOriented.github.io/randomForestExplainer/
random-forest cran

nickgillian / grt
random-forest,gesture recognition toolkit
User: nickgillian
gesture-recognition grt machine-learning gesture-recognition-toolkit support-vector-machine random-forest kmeans dynamic-time-warping softmax linear-regression

nivu / ai_all_resources
random-forest,A curated list of Best Artificial Intelligence Resources
User: nivu
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn

parrt / dtreeviz
random-forest,A python library for decision tree visualization and model interpretation.
User: parrt
machine-learning scikit-learn python data-science xgboost decision-trees visualization random-forest model-interpretation

rdk / p2rank
random-forest,P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
User: rdk
Home Page: https://rdk.github.io/p2rank/
bioinformatics machine-learning protein-structure pdb binding-sites proteins ligand protein-surface structural-bioinformatics protein-ligand-interactions

sanity / quickml
random-forest,A fast and easy to use decision tree learner in java
User: sanity
Home Page: http://quickml.org/
java machine-learning decision-tree random-forest

serengil / chefboost
random-forest,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
User: serengil
Home Page: https://www.youtube.com/watch?v=Z93qE5eb6eg&list=PLsS_1RYmYQQHp_xZObt76dpacY543GrJD&index=3
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

shifuml / shifu
random-forest,An end-to-end machine learning and data mining framework on Hadoop
Organization: shifuml
Home Page: https://github.com/ShifuML/shifu/wiki
bigdata end-to-end-machine-learning gbdt hadoop machine-learning neural-network pipeline random-forest shifu

skylark0924 / machine-learning-is-all-you-need
random-forest,🔥🌟《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!
User: skylark0924
deep-reinforcement-learning keras pytorch tensorflow convolutional-neural-networks lstm dqn ddpg actor-critic ppo

susanli2016 / machine-learning-with-python
random-forest,Python code for common Machine Learning Algorithms
User: susanli2016
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

szilard / benchm-ml
random-forest,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.).
User: szilard
machine-learning data-science r python gradient-boosting-machine random-forest deep-learning xgboost h2o spark

tensorflow / decision-forests
random-forest,A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Organization: tensorflow
python machine-learning random-forest tensorflow ml decision-trees gradient-boosting interpretability decision-forest keras

tirthajyoti / machine-learning-with-python
random-forest,Practice and tutorial-style notebooks covering wide variety of machine learning techniques
User: tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
numpy statistics pandas matplotlib regression scikit-learn classification clustering decision-trees random-forest

western-oc2-lab / intrusion-detection-system-using-machine-learning
random-forest,Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Organization: western-oc2-lab
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection

xtra-computing / thundergbm
random-forest,ThunderGBM: Fast GBDTs and Random Forests on GPUs
Organization: xtra-computing
cuda gpu gbdt random-forest machine-learning

yromano / cqr
random-forest,Conformalized Quantile Regression
User: yromano
Home Page: https://sites.google.com/view/cqr
conformal-prediction quantile-regression deep-learning pytorch random-forest-regression prediction prediction-intervals fairness conformal-methods algorithmic-fairness

zhaoxingfeng / randomforest
random-forest,随机森林，Random Forest（RF）
User: zhaoxingfeng
machine-learning random-forest