Alex Xu (TheXu)

TheXu

Geek Repo

Company:Aetna, a CVS Health Company

Location:New York City, New York

Home Page:https://www.linkedin.com/in/alex-xu-88a736ab/

Github PK Tool:Github PK Tool

Alex Xu's starred repositories

networkx

Network Analysis in Python

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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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.

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causalml

Uplift modeling and causal inference with machine learning algorithms

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vscode-python

Python extension for Visual Studio Code

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VoTT

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

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rmarkdown

Dynamic Documents for R

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knitr

A general-purpose tool for dynamic report generation in R

lifetimes

Lifetime value in Python

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scikit-survival

Survival analysis built on top of scikit-learn

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Super-mario-bros-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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TrainYourOwnYOLO

Train a state-of-the-art yolov3 object detector from scratch!

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DeepSurv

DeepSurv is a deep learning approach to survival analysis.

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monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

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SmashBot

The AI that beats you at Melee

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TSCV

Time Series Cross-Validation -- an extension for scikit-learn

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OSMDeepOD

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

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autoclint

A specially designed light version of Fast AutoAugment

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examples

Example files illustrating Python and Excel

py-glm

Generalized Linear Models in Sklearn Style

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forecastHybrid

Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package

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pynverse

A module to provide the numerical inverse of functions

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l1tf

L1 trend filtering

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sklearn-lifelines

sklearn estimator wrappers for lifeline survival analysis Cox proportional hazard and Aalen Additive models from CamDavidsonPilon/lifelines

coldstart

A package for automatic data collection and feature engineering

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simulationmachine

Individual claims history simulation machine

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mdl

MuseScore Drumline Extension

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RMD

Content for the webinar "Intro to RMD, Parameterized Reports, and Publishing to Connect"

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