Ecosyste.ms: Awesome

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: 03 Jul 2024

https://github.com/RainingComputers/pykitml

Machine Learning library written in Python and NumPy.

deep-learning machine-learning neural-network numpy python-library random-forest

Last synced: 03 Jul 2024

https://github.com/arogozhnikov/infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

experiments gradient-boosting machine-learning random-forest research

Last synced: 02 Jul 2024

https://github.com/RuiYang-1010/efficient_online_learning

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

3d-object-detection autonomous-driving deep-learning kitti-dataset online-learning point-cloud random-forest velodyne

Last synced: 01 Jul 2024

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: 01 Jul 2024

https://github.com/schatzlab/scikit-ribo

Accurate estimation and robust modelling of translation dynamics at codon resolution

glm glmnet random-forest riboseq ridge-regression

Last synced: 29 Jun 2024

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: 28 Jun 2024

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: 27 Jun 2024

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: 22 Jun 2024

https://microsoft.github.io/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: 21 Jun 2024

http://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: 21 Jun 2024

https://github.com/asafschers/scorystal

Crystal Scoring API for PMML

crystal gbm gradient-boosting-classifier machine-learning pmml random-forest

Last synced: 21 Jun 2024

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

Small JavaScript implementation of ID3 Decision tree

decision-tree machine-learning random-forest

Last synced: 19 Jun 2024

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: 15 Jun 2024

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: 14 Jun 2024

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: 11 Jun 2024

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 Jun 2024

https://github.com/curiousily/Reproducible-ML-with-DVC

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking

Last synced: 02 Jun 2024

https://github.com/MrKhan0747/Breast-Cancer-Detection

breast-cancer breast-cancer-prediction breast-cancer-tumor breast-cancer-wisconsin breastcancer-classification classification classification-model kaggle kaggle-dataset knn-classification logistic-regression machine-learning random-forest svm-classifier

Last synced: 29 May 2024

https://github.com/VaibhavAbhimanyooHiwase/Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

alpha-value backward-elimination data-mining-algorithms data-science insurance kaggle-life-insurance life-insurance multiple-linear-regression p-value random-forest risk-analysis risk-assessment risk-calculations risk-modelling risk-models statistical-analysis statistical-data statistical-learning statistical-models statistics

Last synced: 27 May 2024

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: 27 May 2024

https://github.com/PauloCarvalhoRJ/gammaray

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.

cart classification contact-analysis discrete-wavelet-transformation earthsciences emd estimation fft gabor geostatistics gslib kriging markov-chain-monte-carlo markov-random-field random-forest regression simulation stratigraphic-grid variogram vertical-proportion-curve

Last synced: 27 May 2024

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: 25 May 2024

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: 25 May 2024

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: 23 May 2024

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: 21 May 2024

https://github.com/ModelOriented/randomForestExplainer

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

cran random-forest

Last synced: 20 May 2024

https://github.com/BlasBenito/spatialRF

R package to fit spatial models with Random Forest

random-forest spatial-analysis spatial-regression

Last synced: 17 May 2024

https://github.com/wpgp/popRF

Random Forest-informed Population Disaggregation R package

disaggregation population random-forest

Last synced: 17 May 2024

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: 16 May 2024

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: 15 May 2024

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: 15 May 2024

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: 14 May 2024

https://github.com/AnotherSamWilson/miceforest

Multiple Imputation with LightGBM in Python

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

Last synced: 13 May 2024

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: 12 May 2024

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 bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 12 May 2024

https://github.com/jsmlt/jsmlt

:factory: JavaScript Machine Learning Toolkit

classification javascript-library knn logistic-regression machine-learning random-forest svm

Last synced: 11 May 2024

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: 11 May 2024

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: 11 May 2024

https://github.com/masatoi/cl-random-forest

Random forest in Common Lisp

classifier common-lisp machine-learning random-forest regression

Last synced: 11 May 2024

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: 09 May 2024

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: 09 May 2024

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: 09 May 2024

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 automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost

Last synced: 09 May 2024

https://github.com/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

Last synced: 08 May 2024

https://github.com/benedekrozemberczki/awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

churn classification classifier credit-card-fraud credit-card-fraud-detection credit-card-validation credit-scoring data-mining data-science deep-learning fraud-checker fraud-detection fraud-explorer fraud-management fraud-prevention gradient-boosting graph-classification link-prediction logistic-regression random-forest

Last synced: 08 May 2024

https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

adaboost boosting catboost classification-algorithm classification-tree classification-trees classifier decision-tree deep-learning gradient-boosted-trees gradient-boosting gradient-boosting-classifier gradient-boosting-decision-trees gradient-boosting-machine h2o lightgbm machine-learning random-forest xgboost xgboost-algorithm

Last synced: 08 May 2024

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: 05 May 2024

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 May 2024

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: 05 May 2024

https://github.com/asafschers/goscore

Go Scoring API for PMML

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

Last synced: 29 Apr 2024

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: 28 Apr 2024

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

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 28 Apr 2024

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: 28 Apr 2024

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: 28 Apr 2024

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: 27 Apr 2024

https://github.com/ekagra-ranjan/Optimal-Bidding

Inter IIT Techmeet 2017, IIT Madras - Data Science Competition

bid-price bidding boosting-algorithm cross-validation data-science data-science-challenges data-science-competition electricity-market ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine interiit knn linear-regression market-price random-forest sklearn svm

Last synced: 23 Apr 2024

https://github.com/ekagra-ranjan/Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

american-express americanexpress analyze-this boosting-algorithms corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 23 Apr 2024

https://github.com/ekagra-ranjan/Analyze-This-17

Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')

american-express americanexpress analyze-this boosting-algorithm corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 23 Apr 2024

https://github.com/benjilu/forestError

A Unified Framework for Random Forest Prediction Error Estimation

inference intervals machine-learning machinelearning prediction r random-forest randomforest statistics

Last synced: 22 Apr 2024

https://github.com/gmgyan/Personal-Activity-Predictor

The goal of this project is to use data from accelerometers on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which they did the exercise

caret fitbit fitness-tracker fuelband ml practical-machine-learning r-programming random-forest

Last synced: 22 Apr 2024

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: 17 Apr 2024

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: 17 Apr 2024

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

Predict who will win the FIFA World Cup 2018

fifa prediction random-forest worldcup2018

Last synced: 17 Apr 2024

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: 17 Apr 2024

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

Last synced: 17 Apr 2024

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: 13 Apr 2024

https://github.com/ShivamChoudhary17/Flight_Fare_Prediction

Flight_Fare_Prediction

matplotlib-pyplot metrics numpy pickle random-forest seaborn

Last synced: 11 Apr 2024

https://github.com/ShivamChoudhary17/Heart_Disease

Machine Learning

decision-trees knn-classification matplotlib-pyplot numpy pandas random-forest seaborn warnings

Last synced: 11 Apr 2024

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: 11 Apr 2024

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