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GitHub topics: gbm

Ruuudy1/TQT_GBM_2

TQT 2nd GBM: Introducing TQT In House Competition!?; Pipelining Research and Specialist + MINI SEMINAR

Language: Python - Size: 0 Bytes - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

glmark2/glmark2

glmark2 is an OpenGL 2.0 and ES 2.0 benchmark

Language: C - Size: 13.4 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 464 - Forks: 192

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

Language: Python - Size: 1.09 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 476 - Forks: 101

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.

Language: C++ - Size: 1.66 GB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 8,392 - Forks: 1,218

dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Language: C++ - Size: 32.2 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 26,906 - Forks: 8,766

DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

Language: Python - Size: 11 MB - Last synced at: 1 day ago - Pushed at: 30 days ago - Stars: 348 - Forks: 47

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.

Language: Jupyter Notebook - Size: 597 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 7,155 - Forks: 2,016

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.

Language: C++ - Size: 23.5 MB - Last synced at: 4 days ago - Pushed at: 10 days ago - Stars: 17,196 - Forks: 3,875

perpetual-ml/perpetual

A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization

Language: Rust - Size: 792 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 468 - Forks: 24

georgeyounes/GBMPULSAR

Utilizing Fermi GBM as a pulsar timing tool

Language: Python - Size: 28.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

aws/sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Language: Python - Size: 830 KB - Last synced at: about 18 hours ago - Pushed at: 2 months ago - Stars: 137 - Forks: 85

under-view/kmsroots

[WIP] Library used to assists in building C based applications that require vulkan renderers.

Language: C - Size: 1.62 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 8 - Forks: 0

feedzai/fairgbm

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

Language: C++ - Size: 43 MB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 104 - Forks: 6

graysky2/kodi-standalone-service

Use systemd to allow for standalone operation of kodi.

Language: Roff - Size: 72.3 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 176 - Forks: 38

Ruuudy1/TQT_1stGBM

TQT 1st GBM: Board Revamp -- Introducing Research and Specialist Positions

Size: 1.37 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

rishiraj/autolgbm

LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.

Language: Python - Size: 1.06 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 37 - Forks: 5

vkmark/vkmark

Vulkan benchmark

Language: C++ - Size: 1.29 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 198 - Forks: 32

khasrawlab/TILproject

Uncovering Determinants of TIL Expansion in High-Grade Gliomas through Immunophenotyping, TCR Profiling, Single-Cell, Spatial Transcriptomics, and Proeteomics

Language: R - Size: 121 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jd-opensource/UTBoost

A powerful tree-based uplift modeling system.

Language: C++ - Size: 188 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 2

adamingas/ordinalgbt

A package to build Gradient boosted trees for ordinal labels

Language: Jupyter Notebook - Size: 625 KB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 1

sankeer28/stock-predictor

Multi algorithm stock predictor built using Python and Streamlit

Language: Python - Size: 289 KB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 7 - Forks: 6

sahilgoyal7214/Premier-League-Table-Prediction Fork of vins2534/EPL-2023_

A machine learning-based model that predicts English Premier League standings using historical match data, player stats, and team performance metrics. The project leverages Random Forest for match outcome predictions and is deployed with Streamlit for interactive analysis.

Language: Python - Size: 498 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

giltesa/Game-Boy-Micro-USB-C-Kit

The Game Boy Micro: USB-C is a board that allows you to replace the original charging connector with a modern and standard USB-C port.

Size: 10.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

asafschers/scoruby

Ruby Scoring API for PMML

Language: Ruby - Size: 2.39 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 12

grburgess/gbmgeometry

Routines to handle GBM geometry and plotting

Language: Python - Size: 288 MB - Last synced at: 20 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 10

grburgess/gbm_drm_gen

This provides a python based response generator for the Gamma-ray Burst Monitor (GBM). Additionally, a 3ML plugin is provided which allows for the simultaneous fitting of GRB locations and spectra.

Language: Python - Size: 92.6 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 9

uwerat/qpagbm

A Qt platform plugin for running Qt/OpenGL applications offscreen

Language: C++ - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 4

serengil/h2o-ai-101

This repository covers h2o ai based implementations

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 5

serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

Language: Jupyter Notebook - Size: 371 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 66 - Forks: 51

njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

Language: R - Size: 88.9 KB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 29 - Forks: 1

kanyun-inc/ytk-learn

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Language: Java - Size: 804 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 348 - Forks: 76

rahulvictor12/German-Bank-Loan-Defaulter-Prediction

A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

mburakov/streamer

Lightweight screen streaming server

Language: C - Size: 161 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

gvarun20/Machine-learning_Simple_projects

use the data set and run the ipynb file

Language: Jupyter Notebook - Size: 50.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

Rpita623/Detecting-Credit-Card-Fraud

Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Language: R - Size: 7.74 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 9

SKJNR/App-s-Review-Sentiment-Analysis

Perform Sentiment Analysis on App's Review Data

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

chenhongge/RobustTrees

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Language: C++ - Size: 6.59 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 11

FatimeNazliAs/Datathon2024

Datathon 2024 Kaggle Competition

Language: Jupyter Notebook - Size: 6.25 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

fabsig/KTBoost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Language: Python - Size: 3.46 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 63 - Forks: 19

pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Language: Scala - Size: 3.61 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 23 - Forks: 7

dougrandrade/NPS_DS_Repo

My projects from the NPS Data Science Certificate program

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

nzengi/spawn-stochastic

Language: Rust - Size: 4.88 KB - Last synced at: 27 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Azure/fast_retraining 📦

Show how to perform fast retraining with LightGBM in different business cases

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 6 days ago - Pushed at: almost 6 years ago - Stars: 54 - Forks: 15

Pransu-code/MarathonPrediction

Case-based Time Prediction for Recreational Marathon Runners

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

haghish/mlim

mlim: single and multiple imputation with automated machine learning

Language: R - Size: 2.41 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 26 - Forks: 1

bkraad47/binnr

An easy to use Snowflake-based text clustering or LLM, tool/framework

Language: Python - Size: 135 KB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

szilard/GBM-perf

Performance of various open source GBM implementations

Language: HTML - Size: 14.5 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 215 - Forks: 28

AmirMotefaker/Detect-Credit-Card-Fraud-using-R

Detect Credit Card Fraud with Machine Learning in R

Language: R - Size: 8.86 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

Language: R - Size: 1.91 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 1

rakeshjasti/Car-MPG

Predicting miles per gallon (MPG) for a car using UCI dataset

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 11 months ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 1

szilard/GBM-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

Language: HTML - Size: 10.4 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 3

tuoyl/gbm-pulsar

A GBM tool for X-ray pulsar analysis. The GBM data filtering and the barycentric correction are implemented.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 25 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

RedaRawi/bNAb-ReP

HIV-1 Envelope Sequence Resistance Predictor to 33 Broadly Neutralizing Antibodies

Language: R - Size: 4.16 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 3

hamzaqureshi5/sentiment140

Sentiment140 dataset with 1.6 million tweets

Language: Jupyter Notebook - Size: 115 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

atharvapathak/Twitter_Sentiment_Analysis_Project

Twitter sentiment analysis is the process of analyzing tweets posted on the Twitter platform to determine the overall sentiment expressed within them. It involves using natural language processing (NLP) and machine learning techniques to classify tweets.

Language: Python - Size: 20.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ericjjohnson2/corporate_credit_rating

This project aims to use machine learning models on Kaggle data to predict corporate credit ratings to aid investment decisions.

Language: Jupyter Notebook - Size: 361 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

liupei101/Tutorial-Machine-Learning-Based-Survival-Analysis

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Language: Jupyter Notebook - Size: 42 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 28 - Forks: 13

krzjoa/scikit-gbm

scikit-learn compatible tools to work with GBM models

Language: Python - Size: 3.28 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

DiTo97/ml-electricity-market Fork of gvlos/ML_project

Machine Learning (90948) final project at UniGe + C1A0 hackathon

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2

jjghockey/MachineLearning_NewYorkTimes

Machine Learning approach to predicting comment recommendations based on New York Times articles and comments made on those articles.

Language: R - Size: 74.2 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

nursena8/BankCustomerProject

Machine learning classification model with streamlit deployment.

Language: HTML - Size: 27.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

MarraLab/GBM-PDE-paper Fork of vleblanc/GBM-PDE-paper

Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Karol-Gawlowski/PolicyRenewals

Building binary predictors on a heavily imbalanced dataset - exercise on policy cross-selling [kaggle]

Language: R - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

camilaburne/h2o

h2o is a ML library that can be used with R and Python. Here are some R examples for supervised and unsupervised methods.

Language: R - Size: 3.81 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MidstallSoftware/gbm.zig

Port of GBM/GBO to Zig

Language: Zig - Size: 43.9 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HeardACat/TreeGrad

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 5

suzanaiacob/Tree-Methods

Projects using tree methods (CART, Random Forests, Boosted Trees)

Size: 1.01 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Mephistopheles-0/GBM

Generating a stock's geometric Brownian motion using C# and plot the result.

Language: C# - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

adamlilith/enmSdm 📦

Faster, better, smarter ecological niche modeling and species distribution modeling

Language: R - Size: 502 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 19

rbalykov/ndi-rpi-gles2

Raspberry PI as Newtek NDI monitor

Language: C++ - Size: 1.61 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

YC-Coder-Chen/Tree-Math

Math behind all the mainstream tree-based machine learning models

Size: 4.14 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 28 - Forks: 4

gosuddin/predicting-NYC-taxi-tips

An attempt to predict the tip as a percentage of the total amount the taxi driver recieves

Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

ClaudioPoli/Regression-Trees

Analysis and implementation of regression trees

Size: 1.12 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

bhargitay/telco_customer_churn

Telecom customer churn example with h2o

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

bhargitay/telco_churn

Telecom customer churn example with h2o

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

xiawei999000/GBM_PCNSL_CNN_modeling

Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model

Language: R - Size: 17 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 0

daudi2010/landuse_Change_Prediction

A R script that runs Boosted Regression Trees(BRT) on epochs of land use datasets with random points to model land use changes and predict and determine the main drivers of change

Language: R - Size: 56.6 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ziminyuri/Geometric-brownian-motion-GBM

:clown_face:Курсовой проект СпбПУ по дисциплине "Обработка и анализ данных"

Language: Python - Size: 3.84 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

zhousrhhh/Loan-Default-Prediction

Loan-Default-Prediction

Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mburakov/framesconv

Language: C++ - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hdavis-sandiego/ADS-capstone

This project is a part of the ADS-599 course in the Applied Data Science Program at the USD. The main goal of this study is to help MSHA determine if a mining violation is significant or substantial.

Language: Jupyter Notebook - Size: 18 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Djilaxx/ml-pipeline

Creating a fast-efficient pipeline to train Machine learning models.

Language: Jupyter Notebook - Size: 202 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

fabsig/GradientNewtonBoosting

Comparing gradient and Newton boosting

Language: Python - Size: 29.9 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

GINK03/namechar-gender-detect-auc

名前の文字の並びから性別を予想し、AUCを手動で計算してみましょう

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

JohnNay/forecastVeg

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Language: Python - Size: 3.62 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 45 - Forks: 21

zhousrhhh/Tip-Prediction-for-New-York-Uber-Lyft-Drivers

Tip-Prediction-for-New-York-Uber/Lyft-Drivers

Language: Jupyter Notebook - Size: 8.21 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mikerr/hello_pi

Hello_pi for pi4 / pi400 using DRM / GBM

Language: C - Size: 29.9 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

avafinger/nanopi-m4-ubuntu-base-minimal

Nanopi M4 RK3399 base minimal image for development (mali fbdev / gbm) - Camera support

Size: 47.9 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 51 - Forks: 10

qiyiping/gbdt

Language: C++ - Size: 597 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 94 - Forks: 70

cminuttim/dash_riesgo_afec

Sistema web para el uso de modelos de riesgo de defunción y severidad hospitalaria asociada a diferentes afecciones médicas en pacientes hospitalizados.

Language: Python - Size: 7.49 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

chenhongge/treeVerification

[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

Language: C++ - Size: 869 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 21 - Forks: 6

Allardvm/LightGBM.jl 📦

LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.

Language: Julia - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 9

EasyIP2023/lucurious 📦

:scream: Lucurious -> [Library] for building advanced DRM/KMS Vulkan Renderers :scream:

Language: C - Size: 9.94 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 2

bottama/stochastic-asset-pricing-in-continuous-time

Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method

Language: Python - Size: 2.38 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 1

mcat18/HR-Attrition-Analysis

In this project, exploratory data analysis was used to identify reasons why employees leave and machine learning methods were used predict employee attrition

Language: R - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

AoranWang/Data-Science-Projects

Here are the previous data science project by Aoran Wang

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

rishanki/Xgboost-VS-Catboost-Vs-LiteGBM

The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.

Language: Jupyter Notebook - Size: 294 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 9

Kwiboo/xbmc Fork of plexinc/plex-home-theater-public

Kodi/OpenPHT repo

Language: C++ - Size: 1.18 GB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 1

pkozelka/rustmojo

Rust-based implementation of H2O mojo

Language: Rust - Size: 105 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

mlisovyi/KaggleSantander2019

Example of MLflow usage for a kaggle competition (Santander 2019)

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0