111 Open source projects that are alternatives of or similar to mobileRiskUser

Earthquake Prediction Challenge with LightGBM and XGBoost

Datamining Discord changes from the JS files

Machine Learning Tool Box

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

Building Decision Trees From Scratch In Python

Time Series Decomposition techniques and random forest algorithm on sales data

🌳 Stacked Gradient Boosting Machines

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

zAnalysis是基于Pascal语言编写的大型统计学开源库

A library to integrate launch darkly with react redux

Simple and Distributed Machine Learning

Unleash client SDK for Java

Schedule Launch Darkly flags on or off

2017第一届腾讯社交广告高校算法大赛Rank28_code

Brisk. The feature.

Simple and Distributed Machine Learning

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

关注AI模型上线、模型部署

[CVPR16] Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales

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

Feature Selection in R using glmnet-lasso, xgboost and ranger

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Automatically records what's in your Animal Crossing: New Horizons catalog

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

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

Scalable machine 🤖 learning for time series forecasting.

Bayesian Optimization and Grid Search for xgboost/lightgbm

Automatic machine learning for tabular data. ⚡🔥⚡

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Kaggle Kernels (Python, R, Jupyter Notebooks)

scikit-mine : pattern mining in Python

📒 Experiment tracking tool and model registry

Machine Learning University: Decision Trees and Ensemble Methods

ECMAScript feature and API detection

Friends Recommendation and Link Prediction in Social Netowork

🔎 A tracker for the various Fortnite Files

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

🏆 Kaggle 8th place solution

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

A Go library for working with rows, columns, or matrix (deprecated, see https://github.com/shuLhan/share/tree/master/lib/tabula).

Deprecated: See DBClientFiles.NET

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.

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

Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"

棋牌类算法(功能实现)

Easily unit test LaunchDarkly feature flagged components with jest

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)

A library for debugging/inspecting machine learning classifiers and explaining their predictions

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations

Using Kafka-Python to illustrate a ML production pipeline

a solution for competition of kaggle `Human or Robot`

All Relevant Feature Selection

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

Unleash client SDK for Ruby

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters