Projects in Awesome Lists tagged with random-forest

https://github.com/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

Last synced: 12 May 2025

https://epistasislab.github.io/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

Last synced: 05 May 2025

https://github.com/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

Last synced: 14 Mar 2025

https://github.com/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.

automl big-data data-science deep-learning distributed ensemble-learning gbm gpu h2o h2o-automl hadoop java machine-learning naive-bayes opensource pca python r random-forest spark

Last synced: 24 Dec 2025

https://github.com/biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

classification clustering data-mining data-science data-visualization decision-trees machine-learning numpy orange orange3 pandas plotting python random-forest regression scikit-learn scipy visual-programming visualization

Last synced: 14 May 2025

https://github.com/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

Last synced: 14 May 2025

https://github.com/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

Last synced: 17 Apr 2025

https://github.com/microsoft/flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 13 May 2025

https://github.com/microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 15 Mar 2025

https://github.com/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

Last synced: 14 May 2025

https://github.com/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

Last synced: 12 May 2025

https://github.com/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

Last synced: 26 Dec 2025

https://github.com/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

Last synced: 19 Jul 2025

https://github.com/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

Last synced: 15 May 2025

https://github.com/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

Last synced: 07 Apr 2025

https://github.com/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

Last synced: 14 May 2025

https://github.com/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

Last synced: 16 May 2025

https://github.com/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

Last synced: 08 Apr 2025

https://github.com/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

Last synced: 09 May 2025

https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 16 May 2025

https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 27 Apr 2025

https://github.com/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

Last synced: 15 Jun 2025

https://github.com/automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest

Last synced: 05 Apr 2025

https://github.com/grf-labs/grf

Generalized Random Forests

causal-forest causal-inference econometrics machine-learning random-forest statistics

Last synced: 21 Oct 2025

https://github.com/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

Last synced: 01 May 2025

https://github.com/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

Last synced: 13 Nov 2025

https://github.com/Xtra-Computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 12 Apr 2025

https://github.com/xtra-computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 14 Dec 2025

https://github.com/tensorflow/decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

decision-forest decision-trees gradient-boosting interpretability keras machine-learning ml python random-forest tensorflow

Last synced: 14 May 2025

https://github.com/emlearn/emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

c classifier embedded-systems inference keras machine-learning microcontroller neural-networks python random-forest scikit-learn sklearn tensorflow tinyml

Last synced: 14 May 2025

https://github.com/google/yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

cart cli cpp decision-forest decision-trees distributed-computing go gradient-boosting interpretability javascript machine-learning ml pypi python random-forest tensorflow

Last synced: 14 May 2025

https://github.com/machinelearnjs/machinelearnjs

Machine Learning library for the web and Node.

data-preprocessing easy-to-use feature-extraction machine-learning minimalistic node probabilistic-models random-forest statistical-learning structured-data svm web

Last synced: 24 Dec 2025

https://github.com/linkedin/fasttreeshap

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 17 Aug 2025

https://github.com/linkedin/FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 19 Jul 2025

https://github.com/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

Last synced: 14 Mar 2025

https://github.com/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

adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree

Last synced: 14 May 2025

https://github.com/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..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 21 Jul 2025

https://github.com/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!

actor-critic convolutional-neural-networks ddpg decision-trees deep-reinforcement-learning dqn gan k-nearest-neighbours keras logistic-regression lstm naive-bayes-classifier ppo pytorch qlearning random-forest resnet support-vector-machine tensorflow trpo

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 19 Jul 2025

https://github.com/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

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 04 May 2025

https://github.com/anothersamwilson/miceforest

Multiple Imputation with LightGBM in Python

data-science imputed-values mice-algorithm python random-forest

Last synced: 08 Apr 2025

https://github.com/cerlymarco/linear-tree

A python library to build Model Trees with Linear Models at the leaves.

boosting-tree decision-trees linear-models machine-learning model-trees random-forest scikit-learn tree

Last synced: 16 May 2025

https://github.com/AnotherSamWilson/miceforest

Multiple Imputation with LightGBM in Python

data-science imputed-values mice-algorithm python random-forest

Last synced: 13 Jul 2025

https://github.com/jmartinezheras/2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

anomaly-detection clustering decision-trees deep-learning lecture-material lecture-slides lecture-videos lectures linear-regression machine-learning machinelearning neural-network pca random-forest support-vector-machines text-mining tf-idf topic-modeling

Last synced: 21 Apr 2025

https://github.com/lagodiuk/decision-tree-js

Small JavaScript implementation of ID3 Decision tree

decision-tree machine-learning random-forest

Last synced: 03 Apr 2025

https://github.com/30lm32/ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ab-testing deep-learning docker gensim geolocation imbalanced-data kdtree keras lstm-neural-networks machine-learning mlflow nlp random-forest spam-classification svm tensorboard tensorflow text-classification timeseries-analysis word2vec

Last synced: 08 May 2025

https://github.com/yromano/cqr

Conformalized Quantile Regression

algorithmic-fairness conformal-methods conformal-prediction deep-learning fairness prediction prediction-intervals pytorch quantile-regression random-forest random-forest-regression

Last synced: 15 Mar 2025

https://github.com/milaan9/python_decision_tree_and_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.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 23 Oct 2025

https://github.com/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

Last synced: 05 Apr 2025

https://github.com/milaan9/Python_Decision_Tree_and_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.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 04 May 2025

https://github.com/rdk/p2rank

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.

binding-sites bioinformatics drug-discovery groovy java ligand machine-learning mmcif molecular-structures p2rank pdb protein-ligand-docking protein-ligand-interactions protein-structure protein-surface proteins pymol random-forest structural-bioinformatics virtual-screening

Last synced: 12 Apr 2025

https://github.com/anujdutt9/handwritten-digit-recognition-using-deep-learning

Handwritten Digit Recognition using Machine Learning and Deep Learning

classification convolutional-neural-networks deep-learning handwritten-digit-recognition keras knn machine-learning mnist-classification python-3-5 random-forest svm-model tensorflow theano

Last synced: 16 May 2025

https://github.com/aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

boosting catboost decision-trees lightgbm machine-learning random-forest tabular-data xgboost

Last synced: 10 May 2025

https://github.com/sanity/quickml

A fast and easy to use decision tree learner in java

decision-tree java machine-learning random-forest

Last synced: 09 Apr 2025

https://github.com/ModelOriented/randomForestExplainer

A set of tools to understand what is happening inside a Random Forest

cran random-forest

Last synced: 13 Jul 2025

https://github.com/packtworkshops/the-data-science-workshop

A New, Interactive Approach to Learning Data Science

binaryclassification clusteranalysis data-preparation datascience dimensionality-reduction ensemble-learning- feature-engineering hyperparameter-tuning- machine-learning machine-learning-pipelines python random-forest regression

Last synced: 05 Apr 2025

https://github.com/benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games

Last synced: 05 Apr 2025

https://github.com/nlp-kr/tensorflow-ml-nlp

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

chatbot dssm konlpy korean-nlp korean-text-processing korean-tokenizer logistic-regression malstm nlp nltk numpy pandas random-forest sentiment-classification seq2seq similarity sklearn tensorflow transformer xgboost

Last synced: 09 Oct 2025

https://github.com/milaan9/machine_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science decision-trees dynamic-time-warping error-functions fitting-algorithm frequentist-methods gaussian-naive-bayes machine-learning machine-learning-algorithms machine-learning-matlab machine-learning-python matlab4datascience naive-bayes-classifier python4datascience random-forest singular-value-decomposition tutor-milaan9 value-iteration-algorithm

Last synced: 30 Jun 2025

https://github.com/dlab-berkeley/Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

cluster decision-trees dlab-berkeley lasso machine-learning pca random-forest superlearner tutorial xgboost

Last synced: 26 Apr 2025

https://github.com/epistasislab/tpot2

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 lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn

Last synced: 09 Apr 2025

https://github.com/arogozhnikov/infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

experiments gradient-boosting machine-learning random-forest research

Last synced: 12 Jun 2025

https://github.com/iterative/example-get-started

Get started DVC project (NLP, random forest)

dvc example machine-learning nlp python random-forest reproducibility reproducible reproducible-research

Last synced: 18 Jun 2025

https://github.com/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

customer-churn-prediction customer-survival-analysis data-analysis explainable-ai flask-application hazard partial-dependence-plot random-forest shap-values survival-analysis

Last synced: 08 Apr 2025

https://github.com/zillow/quantile-forest

Quantile Regression Forests compatible with scikit-learn.

machine-learning prediction-intervals python quantile-regression quantile-regression-forests random-forest scikit-learn-api uncertainty-estimation

Last synced: 05 Apr 2025

https://github.com/ayush1997/YouTube-Like-predictor

YouTube Like Count Predictions using Machine Learning

data-analysis data-science machine-learning predictive-analysis random-forest visualization youtube-api

Last synced: 19 Jul 2025

https://github.com/aehrc/variantspark

machine learning for genomic variants

association-studies aws bioinformatics databricks emr genome gwas notebook random-forest variant-spark variantspark vcf

Last synced: 06 Apr 2025

https://github.com/user1342/DroidDetective

A machine learning malware analysis framework for Android apps.

androguard android android-application artificial-intelligence machine-learning malware malware-analysis malware-detection python random-forest reverse-engineering

Last synced: 29 Mar 2025

https://github.com/ahmedbesbes/how-to-score-0.8134-in-titanic-kaggle-challenge

Solution of the Titanic Kaggle competition

data-visualization exploratory-data-analysis gridsearch jupyter kaggle kaggle-titanic machine-learning python random-forest scikit-learn tutorial visualization

Last synced: 21 Aug 2025

https://github.com/BlasBenito/spatialRF

R package to fit spatial models with Random Forest

random-forest spatial-analysis spatial-regression

Last synced: 26 Apr 2025

https://github.com/chayandatta/heart_disease_prediction

Heart Disease prediction using 5 algorithms

clustering data-mining dicision-tree disease-prediction heart-disease heart-disease-predictor k-nearest-neighbours logistic-regression machine-learning machine-learning-algorithms machinelearning naive-bayes python3 random-forest supervised-learning

Last synced: 05 Apr 2025

https://github.com/mhscience/landslides_detection

Machine learning tool to detect landslides from optical satellite imagery

geomatics google-earth-engine image-segmentation k-means landslides-detection merging-algorithms obia object-based-image-analysis optical-satellite-imagery random-forest rsgislib

Last synced: 20 Jul 2025

https://github.com/edouardpoitras/nowtrade

Python library for backtesting technical/mechanical strategies in the stock and currency markets

algorithmic-trading-library currency machine-learning neural-network python random-forest stock technical-indicators trading

Last synced: 16 Mar 2025

https://github.com/edouardpoitras/NowTrade

Python library for backtesting technical/mechanical strategies in the stock and currency markets

algorithmic-trading-library currency machine-learning neural-network python random-forest stock technical-indicators trading

Last synced: 04 May 2025

https://github.com/dgriffiths3/ml_segmentation

Machine learning semantic segmentation - Random Forest, SVM, GBC

image-segmentation machine-learning python random-forest segmentation support-vector-machine

Last synced: 08 May 2025

https://github.com/neurodata/sporf

This is the implementation of Sparse Projection Oblique Randomer Forest

classification cpp decision-trees python r random-forest

Last synced: 13 Dec 2025

https://github.com/asafschers/goscore

Go Scoring API for PMML

classification decision-trees golang machine-learning pmml random-forest

Last synced: 27 Mar 2025

https://github.com/maksimekin/covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

bokeh classification clustering coronavirus covid-19 dimensionality-reduction kaggle kmeans kmeans-clustering machine-learning pca principal-component-analysis random-forest sgd-classifier sklearn tsne

Last synced: 23 Oct 2025

https://github.com/sylvaticus/betaml.jl

Beta Machine Learning Toolkit

ai artificial-intelligence autoencoder classification clustering data-science decision-trees deep-learning feature-importance imputation julia machine-learning ml neural-networks pca random-forest regression

Last synced: 17 Mar 2025

https://github.com/max-fitzpatrick/credit-scoring-model

Credit scoring machine learning algorithm which predicts probability of default

credit-score credit-scoring-algorithms ipython python random-forest

Last synced: 30 Apr 2025

https://github.com/neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

causal-inference causal-machine-learning cython decision-trees estimation machine-learning python random-forest scikit-learn

Last synced: 04 Apr 2025

https://github.com/akhilthomas17/pointcloud-landmarks-extractor

Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data

classification difference-of-normals landmark-detection pcl-library point-cloud random-forest segmentation

Last synced: 19 Mar 2025

https://github.com/kingfengji/eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

autoencoder eforest encoderforest random-forest

Last synced: 26 Mar 2025

https://github.com/asafschers/scoruby

Ruby Scoring API for PMML

classification decision-tree gbm gradient-boosted-models gradient-boosting-classifier machine-learning naive-bayes pmml random-forest ruby ruby-gem rubyml

Last synced: 09 Apr 2025

https://github.com/mayer79/missRanger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 26 Apr 2025

https://github.com/mayer79/missranger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 24 Oct 2025

https://github.com/zmjones/edarf

exploratory data analysis using random forests

exploratory-data-analysis machine-learning r random-forest rstats

Last synced: 26 Oct 2025

https://github.com/FilippoMB/Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

conformal-prediction ensemble-machine-learning frequentist-statistics frequentistic-confidence-intervals prediction-intervals probabilistic-forecasting quantile-regression random-forest recurrent-neural-networks time-series-forecasting time-series-prediction uncertainty-quantification

Last synced: 11 May 2025

https://github.com/serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

adaboost bagging boosting c45 cart decision-tree gbm gradient-boosting gradient-boosting-machine id3 lightgbm machine-learning random-forest regression-trees xgboost

Last synced: 04 Apr 2025

https://github.com/mrthlinh/FIFA-World-Cup-Prediction

Predict who will win the FIFA World Cup 2018

fifa prediction random-forest worldcup2018

Last synced: 19 Jul 2025

https://github.com/agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification

LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.

land-cover machine-learning python random-forest time-series-analysis tkinter-gui