gbm

There are 133 repositories under gbm topic.

  • Detecting-Credit-Card-Fraud

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

    Language:R19
  • lucurious

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

    Language:C19
  • h2o-ai-101

    This repository covers h2o ai based implementations

    Language:Jupyter Notebook19
  • 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:R13
  • qpagbm

    A Qt platform plugin for running Qt/OpenGL applications offscreen

    Language:C++11
  • Covid-19-spread-prediction

    Automatic short-term covid-19 spread prediction by countries and Russian regions

    Language:Python10
  • ordinalgbt

    A package to build Gradient boosted trees for ordinal labels

    Language:Jupyter Notebook8
  • xbmc

    Kodi/OpenPHT repo

    Language:C++8
  • kmsroots

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

    Language:C7
  • MRI_toumor_segmentation

    The work presented explains how to segment the brain tumour area in absence of interaction with user basing his technique on a saliency map constructed from three different resonance techniques.

    Language:MATLAB7
  • 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 Notebook7
  • h2o-r-examples

    H2O-3 Examples in R

    Language:HTML6
  • p5-AI-XGBoost

    Perl wrapper for XGBoost library

    Language:Perl6
  • gbmgeometry

    gbmgeometry

    Routines to handle GBM geometry and plotting

    Language:Python6
  • GBM

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

    Language:C#4
  • GradientNewtonBoosting

    Comparing gradient and Newton boosting

    Language:Python4
  • bNAb-ReP

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

    Language:R4
  • GBM_reversion

    (i) Identify and extract mean reversion, (swing points) data points from non-stationary data, (ii) generate interpretable rules to predict such data points (iii) using supervised machine learning classification models in R such as GBM and RF.

    Language:C++4
  • gbm_drm_gen

    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:Python4
  • Machine-learning_Simple_projects

    use the data set and run the ipynb file

    Language:Jupyter Notebook3
  • ndi-rpi-gles2

    Raspberry PI as Newtek NDI monitor

    Language:C++3
  • Comparison-of-Models-using-R

    One Data Set with multiple Algorithms

    Language:R3
  • rAutoML

    Auto Machine Learning in R

    Language:R3
  • GBM-meltdown

    The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs

    Language:R3
  • Envible-Analyze-This-2017

    Repository for American Express Analyse This 2017 Challenge

    Language:Jupyter Notebook3
  • DRI.net

    C# Bindings for the Linux Direct Rendering Infrastructure (DRI)

    Language:C#3
  • Car-MPG

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

    Language:Jupyter Notebook3
  • scorystal

    Crystal Scoring API for PMML

    Language:Crystal3
  • scikit-gbm

    scikit-learn compatible tools to work with GBM models

    Language:Python2
  • hello_pi

    Hello_pi for pi4 / pi400 using DRM / GBM

    Language:C2
  • gbm-pulsar

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

    Language:Jupyter Notebook2
  • ml-electricity-market

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

    Language:Jupyter Notebook2
  • classify-passenger-survival-titanic-h2o

    This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.

    Language:Python2
  • KaggleSantander2019

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

    Language:Jupyter Notebook2
  • rustmojo

    Rust-based implementation of H2O mojo

    Language:Rust2