GithubHelp home page GithubHelp logo

fagan2888's Projects

task_manager icon task_manager

Simple client-server architecture to do simple operations

taskscheduler icon taskscheduler

Moving Scheduler from Bitbucket to Github. For further developing.

tasmanian icon tasmanian

The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN

tax-brain icon tax-brain

Tax-Brain is an integrator model for PSL tax models

tax-calculator icon tax-calculator

USA Federal Individual Income and Payroll Tax Microsimulation Model

tax-cruncher icon tax-cruncher

Calculates federal tax liabilities from individual data under a range of policy scenarios

taxcalc icon taxcalc

Tax Microsimulation Model for India

taxdata icon taxdata

Preparation of data for Tax Microsimulation Model for India

taxfuncintegr icon taxfuncintegr

Code and documentation for paper, "Integrating Microsimulation Tax Functions into a DGE Macroeconomic Model".

taxi icon taxi

Winning entry to the Kaggle taxi competition

taxi-fare icon taxi-fare

Work related to the Kaggle Taxi Fare prediction challenge

tcl icon tcl

Time-Contrastive Learning

tcn icon tcn

Sequence modeling benchmarks and temporal convolutional networks

tcopula icon tcopula

Copula Application in Global Market

tcs icon tcs

Book in preparation: introduction to theoretical computer science

tcscode icon tcscode

Supplementary code for Introduction to Theoretical Computer Science book.

td-ameritrade-python-api icon td-ameritrade-python-api

Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API, and allows users to build data pipelines for the Streaming API.

tdameritrade icon tdameritrade

Python interface to TD Ameritrade (https://developer.tdameritrade.com)

tdc icon tdc

Topological Density-based Clustering

tdigest icon tdigest

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

tds_black_box_models_more_explainable icon tds_black_box_models_more_explainable

Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.