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Logan Gore's repositories

C-Poker-AI

First I made a poker AI in Ruby... not fast enough! Then I made another in Python... still too slow! So this is my third poker AI written entirely in C using the 2+2 hand evaluator algorithm.

Language:CMIT52 6 1

chatschoolette

ChatRoulette localized by *.edu email addresses

Language:PythonMIT200

dli-reports

A repository for easier report generation for Discount Labels, Inc.

Language:JavaScriptMIT2 5 109

hscc2016

ACM High School Coding Competition 2016 Solutions and Test I/O

Language:JavaMIT100

tips

This is an Android application called tips in which users can upload their own tips or vote on others' tips

Language:Java100

purdue-ride-mapper

An app where users can easily and intuitively request or share rides

Language:JavaScript000

advent-2022

https://adventofcode.com/2022/

Language:PythonMIT000

advent-2023

Advent of Code 2023

Language:PythonMIT000

dotfiles

Custom dotfiles (.bashrc, .vimrc)

Language:Lua000

EmojipastaBot

A Reddit bot that responds to mentions with emojipasta.

Language:PythonMIT000

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.

MIT000

fbpcp

FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via Private Scaling architecture.

MIT000

fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

MIT000