Projects in Awesome Lists tagged with gradient-boosting

https://github.com/shap/shap

A game theoretic approach to explain the output of any machine learning model.

deep-learning explainability gradient-boosting interpretability machine-learning shap shapley

Last synced: 11 Dec 2025

https://github.com/lightgbm-org/lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 10 Mar 2026

https://github.com/microsoft/lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 09 Sep 2025

https://github.com/Microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 23 Apr 2025

https://github.com/microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 12 Mar 2025

https://github.com/ddbourgin/numpy-ml

Machine learning, in numpy

attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec

Last synced: 12 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: 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/catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial

Last synced: 12 May 2025

https://github.com/interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml interpretml machine-learning scikit-learn transparency xai

Last synced: 06 Feb 2026

https://github.com/stanfordmlgroup/ngboost

Natural Gradient Boosting for Probabilistic Prediction

gradient-boosting machine-learning natural-gradients ngboost python uncertainty-estimation

Last synced: 25 Feb 2026

https://github.com/climbsrocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 14 May 2025

https://github.com/ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 07 Apr 2025

https://github.com/TorchEnsemble-Community/Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 08 May 2025

https://github.com/torchensemble-community/ensemble-pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 14 Dec 2025

https://github.com/sberbank-ai-lab/LightAutoML

LAMA - automatic model creation framework

automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox

Last synced: 19 Jul 2025

https://github.com/Freemanzxp/GBDT_Simple_Tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

gbdt gnm gradient-boosting gradient-boosting-decision-trees machine-learning

Last synced: 19 Jul 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/perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

data-science gbdt gbm gradient-boosted-trees gradient-boosting gradient-boosting-decision-trees kaggle machine-learning python rust

Last synced: 02 Apr 2026

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: 12 Jan 2026

https://github.com/x4nth055/emotion-recognition-using-speech

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

deep-learning emotion-detection emotion-recognition emotion-recognizer feature-extraction gradient-boosting keras kneighborsclassifier librosa machine-learning mfcc mlp-classifier neural-networks random-forest-classifier recurrent-neural-networks sklearn speech-emotion-recognition support-vector-machine

Last synced: 04 Apr 2025

https://github.com/zygmuntz/hyperband

Tuning hyperparams fast with Hyperband

gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning

Last synced: 28 Jan 2026

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/siboehm/lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

decision-trees gradient-boosting lightgbm llvm machine-learning python

Last synced: 14 May 2025

https://github.com/elucideye/drishti

Real time eye tracking for embedded and mobile devices.

acf android c-plus-plus dlib drishti eye-tracking face-detection face-tracking gradient-boosting hunter ios object-detection xgboost

Last synced: 06 Apr 2025

https://github.com/cheng-li/pyramid

Open source Machine Learning library written in Java

gradient-boosting java machine-learning machine-learning-library multi-label-classification

Last synced: 13 Mar 2026

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/evovest/evotrees.jl

Boosted trees in Julia

boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression

Last synced: 16 May 2025

https://github.com/Evovest/EvoTrees.jl

Boosted trees in Julia

boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression

Last synced: 04 May 2025

https://github.com/feedzai/fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

fairness fairness-ml gbm gradient-boosting lightgbm tabular-data

Last synced: 05 Apr 2025

https://github.com/benedekrozemberczki/tigerlily

TigerLily: Finding drug interactions in silico with the Graph.

biology ddi deep-learning drug-drug-interaction embedding gradient-boosting graph graph-database graph-embedding graph-machine-learning heterogeneous-graph knowledge-graph machine-learning network-science node node-embedding pharmaceuticals tigergraph unsupervised-learning

Last synced: 11 Apr 2025

https://github.com/soda-inria/hazardous

Competing Risks and Survival Analysis

competing-risks data-science gradient-boosting machine-learning survival-analysis

Last synced: 06 Apr 2025

https://github.com/pfnet-research/autogbt-alt

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

automl gradient-boosting kaggle lightgbm machine-learning python

Last synced: 13 Apr 2025

https://github.com/Blunde1/agtboost

Adaptive and automatic gradient boosting computations.

adaptive-learning gradient-boosting information-theory machine-learning

Last synced: 13 Jul 2025

https://github.com/bsharchilev/influence_boosting

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

catboost gradient-boosting influence-functions machine-learning machine-learning-algorithms paper python

Last synced: 27 Mar 2025

https://github.com/sh1ng/arboretum

Gradient Boosting powered by GPU(NVIDIA CUDA)

arboretum cuda gpu gradient-boosting gradient-boosting-machine machine-learning python

Last synced: 07 Nov 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/rubixml/housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

data-science ensemble gradient-boost gradient-boosted-trees gradient-boosting gradient-boosting-machine gradient-boosting-regressor gradient-descent housing-prices kaggle kaggle-competition machine-learning machine-learning-tutorial php php-machine-learning php-ml predicting-housing-prices regression rubix rubix-ml

Last synced: 30 Jul 2025

https://github.com/blei-lab/treeffuser

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.

diffusion-models diffusions flexible-prediction gradient-boosting heteroscedasticity lightgbm prediction probabilistic-models probabilistic-prediction tabular-data trees

Last synced: 23 Apr 2025

https://github.com/benedekrozemberczki/boostedfactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

boostedne boosting boosting-machine data-mining deepwalk dimensionality-reduction factorization-machine gradient-boosting gradient-boosting-machine l-ensnmf machine-learning matrix-factorization network-embedding nmf nmf-decomposition node-embedding node2vec sklearn unsupervised-learning word2vec

Last synced: 21 Aug 2025

https://github.com/haghish/mlim

mlim: single and multiple imputation with automated machine learning

automatic-machine-learning automl classimbalance data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data multipleimputation r rstats rstats-package stack-ensemble

Last synced: 19 Feb 2026

https://github.com/jd-opensource/utboost

A powerful tree-based uplift modeling system.

causal-inference descision-tree gbm gradient-boosting uplift-modeling

Last synced: 13 Apr 2025

https://github.com/kwokhing/yandexcatboost-python-demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost

Last synced: 09 Apr 2025

https://github.com/maxhalford/starboost

:star::rocket: Gradient boosting on steroids

gradient-boosting machine-learning python scikit-learn

Last synced: 01 May 2025

https://github.com/statmixedml/dgbm

Distributional Gradient Boosting Machines

decision-trees distributional-regression gradient-boosting lightgbm machine-learning normalizing-flow probabilistic-modeling quantile-estimation uncertainty-quantification xgboost

Last synced: 06 Jan 2026

https://github.com/mmbazel/classifying-sales-calls

Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier

capstone classification classifying-sales-calls data-science data-science-notebook data-science-portfolio data-science-projects data-visualization gradient-boosting logistic-regression machine-learning saas sales springboard springboard-career-track springboard-data-science springboard-projects

Last synced: 02 Apr 2026

https://github.com/rickiepark/handson-gb

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

gradient-boosting lightgbm machine-learning scikit-learn xgboost

Last synced: 04 Jul 2025

https://github.com/nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

automl catboost decision-trees ensemble-learning gbdt gbm gradient-boosting lightgbm machine-learning model-stacking xgboost

Last synced: 22 Apr 2025

https://github.com/ottenbreit-data-science/aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

ai aplr automatic-piecewise-linear-regression classification explainable-ai explainable-boosting generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning piecewise-regression regression scikit-learn segmented-regression transparency

Last synced: 25 Apr 2026

https://github.com/serengil/h2o-ai-101

This repository covers h2o ai based implementations

auto-ml automl deep-learning gbm gradient-boosting gradient-boosting-decision-trees gradient-boosting-machine h2o h2oai machine-learning

Last synced: 04 Apr 2025

https://github.com/mratsim/apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

clustering geolocalization gradient-boosting kaggle kaggle-competition lightgbm machine-learning natural-language-processing xgboost

Last synced: 06 May 2025

https://github.com/mirecl/catboost-cgo

CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀

catboost cgo deep-learning golang gradient-boosting inference

Last synced: 13 Oct 2025

https://github.com/radiantearth/model_ecaas_agrifieldnet_gold

AgriFieldNet Model for Crop Detection from Satellite Imagery

earth-observation gradient-boosting machine-learning unet

Last synced: 12 Apr 2025

https://github.com/davemlz/water-storage-retrieval

Semi-supervised water storage retrieval using Sentinel-2

bathymetry copernicus esa gee google-earth-engine gradient-boosting idw inverse-distance-weighting kmeans kmeans-algorithm kmeans-clustering linear-regression random-forest satellite-imagery sentinel sentinel-2 snic water water-resources water-storage-calculator

Last synced: 02 Aug 2025

https://github.com/motapinto/football-classification-predications

Supervised Learning Models used to predict outcomes of football matches

artificial-intelligence decision-tree deep-neural-network gradient-boosting k-nearest-neighbours machine-learning naive-bayes neural-network supervised-learning support-vector-machine

Last synced: 14 Apr 2025

https://github.com/hunterdii/ai-nexus

AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.

cifar10-classification datascience diabetes-prediction diabetes-risk-prediction good-first-issue gpa-prediction gradient-boosting iris-flower-classification keras-classification-models knn-algorithm knn-classification linear-regression machine-learning mnist-classification mnist-fashion-classification python3 random-forest-regression streamlit tensorflow-models xgboost-algorithm

Last synced: 22 Apr 2026

https://github.com/qinhanmin2014/kaggle-bike-sharing-demand

simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code

gradient-boosting kaggle kaggle-competition random-forest

Last synced: 07 May 2025

https://github.com/chaitjo/working-women

Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)

caste gradient-boosting india interpretability machine-learning shap social-good women

Last synced: 14 Mar 2025

https://github.com/erdogant/treeplot

Plot tree based machine learning models

gradient-boosting machine-learning plot pypi python randomforest tree-structure treeplot xgboost

Last synced: 26 Feb 2026

https://github.com/somjit101/facebook-friend-recommendation

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.

bagging-ensemble boosting-ensemble cross-validation decision-tree-classifier decision-trees facebook-friend-recommendation gradient-boosting graph graph-algorithms graph-similarity graph-theory machine-learning randomizedsearchcv social-network social-network-analysis xgboost

Last synced: 14 Apr 2025

https://github.com/sarvandani/machine_learning-deep_learning_11_algorithms-of-regression

sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge

adaboost bayesian decision-trees deep-learning extratrees gradient-boosting keras-tensorflow kernel knn-regression machine-learning polynomial-regression random-forest regression-algorithms sklearn svr-regression-prediction

Last synced: 15 Apr 2026

https://github.com/bhattbhavesh91/catboost-tutorial

A small tutorial to demonstrate the power of CatBoost Algorithm

catboost catboost-algorithm catboost-tutorial categorical-features data-science decision-trees gpu gpu-computing gradient-boosting machine-learning tutorial

Last synced: 17 Apr 2025

https://github.com/jeremiedb/evolinear.jl

Linear models

boosting gradient-boosting julia-language linear-models machine-learning

Last synced: 13 Apr 2025

https://github.com/moindalvs/gradient_boosting_algorithms_from_scratch

4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost

boosting-algorithms catboost-algorithm data-science decision-trees gradient-boosting lightbgm random-forest xgboost-algorithm

Last synced: 30 Oct 2025

https://github.com/DeutscheAktuarvereinigung/claim_frequency

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

actuaries claim-frequency glm gradient-boosting insurance insurance-pricing neural-network

Last synced: 20 Jul 2025

https://github.com/senya-ashukha/simple-gradient-boosting

Very simple and short implementation of gradient boosting in 18 lines of code

boosting ensemble gradient-boosting machine-learning supervised-learning

Last synced: 11 Mar 2026

https://github.com/unixjunkie/orxgboost

Gradient boosting for OCaml using the R xgboost package under the carpet

classification gradient-boosted-trees gradient-boosting machine-learning ocaml-library r regression xgboost

Last synced: 14 Apr 2025

https://github.com/benedekrozemberczki/av_ultimate_student_hunt

Solution for the Ultimate Student Hunt Challenge (1st place).

analytics-vidhya-competition competition data-cleaning data-engineering data-engineering-pipeline distributed-machine-learning driven-data extreme-gradient-boosting forecasting gradient-boosting kaggle machine-learning r student-hunt supervised-learning weather-forecast winning-entry xgboost

Last synced: 20 Jun 2025

https://github.com/34j/boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

autograd catboost custom-loss custom-loss-functions evaluation-metrics gbdt gradient-boosting hacktoberfest lightgbm pytorch scikit-learn sklearn sklearn-compatible xgboost

Last synced: 08 Oct 2025

https://github.com/koldim2001/time_series_theory

Решение задач по анализу временных рядов: детекция пиков QRS на сигналах ЭКГ с помощью ML, прогнозирование заболеваемости COVID с помощью LSTM и др.

catboost covid-19 ecg-qrs-detection ecg-signal econometrics fft-analysis forecasting gradient-boosting kalman-filter lstm-neural-networks machine-learning rcnn signal-processing time-series

Last synced: 29 Aug 2025

https://github.com/adibender/machine-learning-for-survival-ecml2020

Code repository for "A General Machine Learning Framework for Survival Analysis" published at ECML 2020

gradient-boosting machine-learning survival-analysis

Last synced: 19 Mar 2025

https://github.com/MainRo/xgbtune

a library to tune xgboost models

automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost

Last synced: 20 Nov 2025

https://github.com/mainro/xgbtune

a library to tune xgboost models

automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost

Last synced: 02 Apr 2026

https://github.com/manikantasanjay/crop_yield_prediction_regression

Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Support-Vector Regressor

crop-yield-prediction data-science decision-trees gradient-boosting random-forest regression-analysis support-vector-machines

Last synced: 11 Apr 2025

https://github.com/leffff/stackboost

Open source gradient boosting library

boosting classification-model data-analysis data-science decision-tree ensemble-learning gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosting-regressor pypi python regression-models

Last synced: 17 Jan 2026

https://github.com/shamspias/agriaid

AgriAid is an AI-powered tool for farmers & agricultural agents in Bangladesh, offering plant disease forecasting & identification. Using machine learning, deep learning & Python, it helps increase crop yield & food security.

agriculture agriculture-research artificial-intelligence cnn data-processing disease disease-prediction gradient-boosting logistic-regression machine-learning machine-learning-algorithms prediction-model svm-training

Last synced: 09 Oct 2025

https://github.com/ashwinpn/movie-recommendation-engines

Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.

algorithms collaborative-filtering film gradient-boosting machine-learning movie movies-recommender recommendation-engines recommender-system regression tmdb

Last synced: 13 Apr 2025

https://github.com/benedekrozemberczki/societe-general

Solution for ENS - Societe Generale Challenge (1st place).

binary-classification boosting classification-tree competition data-leakage differential-privacy ensembles forecasting gradient-boosting hacking machine-learning machine-learning-competition oild-production-forecast panel-data prediction societe-general supervised-learning winning-entry xgboost

Last synced: 11 Apr 2025

https://github.com/sverrenystad/power-predictor

Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features

automl catboost exploratory-data-analysis feature-engineering feature-selection gradient-boosting kaggle-competition lstm machine-learning prophet-model random-forest regression renewable-energy solar-energy stacking time-series-forecasting xgboost

Last synced: 10 Apr 2025

https://github.com/nachiket273/ml_algo_implemented

Bare-bone and simple implementations of few Machine Learning Algorithms

dbscan decision-trees gradient-boosting gradient-descent kmeans knn linear-regression logistic-regression machine-learning machine-learning-from-scratch naive-bayes pca python random-forest svm tsne

Last synced: 06 Apr 2025

https://github.com/mohd-faizy/machine-learning-algorithms

This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

bayesian-algorithm convolutional-neural-networks decision-trees deep-learning dimensionality-reduction-algorithms gradient-boosting k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning-algorithms naive-bayes-classifier neural-network random-forest supervised-learning support-vector-machines unsupervised-learning

Last synced: 08 Oct 2025

https://github.com/QianCapital/snapboost

Heterogeneous Newton Boosting Machine using decision trees and kernel ridges as learners.

boosting gradient-boosting

Last synced: 24 Jul 2026

https://github.com/javierantoran/moby_dick_whale_audio_detection

Feature extraction, HMMs, Neural Nets, and Boosting for Kaggle Cornell Whale detection challenge.

cross-validation extract-features feature-extraction gradient-boosting hmm mfcc neural-network spectrogram whale

Last synced: 04 Apr 2025

https://github.com/shigekikarita/d-tree

Decision tree library for D

decision-tree gradient-boosting mir numir

Last synced: 07 Feb 2026

https://github.com/a-poor/spotify-skip-prediction

Using a dataset of listening sessions to predict whether or not a user would skip a given track

classification data-science decision-tree-classifier gradient-boosting postgresql spotify

Last synced: 07 Mar 2026

https://github.com/vjgpt/home-credit-default-risk

Objective of this competition is to use historical loan application data to predict whether or not an applicant will be able to repay a loan.

banking credit-risk gradient-boosting large-dataset lightgbm loan

Last synced: 10 Apr 2025

https://github.com/kolonaukowe-rai/kurs-machine-learning

A repository with materials for Machine Learning Course

classification course gradient-boosting learning machine-learning obsidian politechnikapoznanska project python3 regression scientific-club website

Last synced: 07 Sep 2025

https://github.com/saahen-sriyan-mishra/machine-learning-python

This Repo. contains all my Python based Machine Learning projects using numerous algorithms for the purpose of Classification, Clustering, Recommendation, Prediction and Anomaly Detection.

classification clustering convolutional-neural-networks decision-tree-classifier gradient-boosting knn-classifier logistic-regression lstm-model machine-learning numpy pandas prediction random-forest regression support-vector-machines tinker xgboost

Last synced: 11 May 2026

https://github.com/namratha2301/intrusiondetection

Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset

decisiontree gradient-boosting intrusion-detection mlp-classifier naive-bayes-classifier nsl-kdd randomforest scikit-learn

Last synced: 22 Feb 2026

https://github.com/dfsp-spirit/meshlearn

AI model to predict computationally expensive vertex-wise descriptors like the local gyrification index from the mesh structure.

ai brain deep-learning gradient-boosting machine-learning mesh ml mri neuroimaging per-vertex python tensorflow triangular-mesh

Last synced: 30 Apr 2026

https://github.com/m-anasnasir/dubai-real-estate-price-prediction-ml

This repository contains a comparative analysis of machine learning algorithms to predict real estate prices in Dubai. Using data from Bayut, we evaluate Decision Tree, Linear Regression, Random Forest, and Gradient Boosting models based on their predictive accuracy.

decision-tree gradient-boosting linear-regression machine-learning random-forest scikit-learn

Last synced: 17 May 2026

https://github.com/ahana4banerjee/wireless-sensor-network

Wireless Sensor Network (WSN) is an end-to-end Industrial IoT platform for real-time environmental and network health monitoring. The system combines ESP32-based sensor nodes, MQTT messaging, a FastAPI backend, machine learning pipelines & a modern React dashboard to collect, analyze, and visualize distributed telemetry from multiple sensor nodes.

fastapi gradient-boosting internet-of-things isolation-forest linear-regression mqtt python3 react real-time-monitoring scikitlearn-machine-learning telemetry-data wireless-sensor-networks

Last synced: 19 Jul 2026

https://github.com/mmerlyn/tomato-price-predictor

Machine learning web app that predicts tomato market prices in Karnataka, India to help farmers optimize crop planning and sales decisions

agriculture-research css3 flask-application gradient-boosting html machine-learning price-prediction-model python

Last synced: 12 Apr 2026

https://github.com/walidalsafadi/titanic-disaster

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

data-analysis data-science decision-trees eda gradient-boosting knearest-neighbors machine-learning-algorithms naive-bayes random-forest titanic-kaggle titanic-survival-prediction