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xgb2sql

Convert trained XGBoost model object in R to SQL script

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, Flink and DataFlow

xgboost-1

xgboost-2

xgboost_house_price

xgboostandlr

use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR

xgboostexplainer

An R package that makes xgboost models fully interpretable

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

xlsx

An R package to interact with Excel files using the Apache POI java library

xmgrace

Grace (xmgrace) plotting tool

xmlconvert

Comfortably converting XML documents to dataframes and vice versa

xmltools

XML Tools plugin for Notepad++

xournalpp

Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input from devices such as Wacom Tablets.

xpyder

xPyder PyMOL Plugin

xsimd

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

xyztransformer

coming soon

yalmip

MATLAB toolbox for optimization modeling

yank

An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

yggdrasil-decision-forests

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

yousan.ai

Awesome resources of yousan.ai(closely related to deep learning).

yue

A python library for music recommendation

zeal

Software to perform shape-based protein structure alignment.

zelig

A statistical framework that serves as a common interface to a large range of models

zika

Nextstrain build for Zika virus

zika-tutorial

Data and scripts for Zika virus tutorial

zika-tutorial-nextflow

Nextflow based pipeline for Zika tutorial

zillow-s-home-value-prediction

Zestimate was created to give consumers as much information as possible about homes and the housing market, marking the first time consumers had access to this type of home value information at no cost. “Zestimates” are estimated home values based on 7.5 million statistical and machine learning models that analyze hundreds of data points on each property. And, by continually improving the median margin of error (from 14% at the onset to 5% today), Zillow has since become established as one of the largest, most trusted marketplaces for real estate information in the U.S. and a leading example of impactful machine learning. Zillow Prize, a competition with a one million dollar grand prize, is challenging the data science community to help push the accuracy of the Zestimate even further. Winning algorithms stand to impact the home values of 110M homes across the U.S. In this million-dollar competition, participants will develop an algorithm that makes predictions about the future sale prices of homes. The contest is structured into two rounds, the qualifying round which opens May 24, 2017 and the private round for the 100 top qualifying teams that opens on Feb 1st, 2018. In the qualifying round, you’ll be building a model to improve the Zestimate residual error. In the final round, you’ll build a home valuation algorithm from the ground up, using external data sources to help engineer new features that give your model an edge over the competition. Because real estate transaction data is public information, there will be a three-month sales tracking period after each competition round closes where your predictions will be evaluated against the actual sale prices of the homes. The final leaderboard won’t be revealed until the close of the sales tracking period.

zip

Platform independent zip compression via miniz