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infoga

Infoga - Email OSINT

infrastructure-conferences

A list of industry conferences focusing on infrastructure, distributed systems and related topics.

ingo

persistent storage for flags in go

ingress-bfe

BFE Ingress Controller for Kubernetes

inline-c-rs

Write and execute C code inside Rust.

innovative-practice

Innovative practice project

inspect

inspect is a collection of metrics gathering, analysis utilities for various subsystems of linux, mysql and postgres.

install

一键安装程序，欢迎大家提交代码和小鱼一起一键安装停止浪费生命

install-cert

instance-watcher

Get notified for Instances mistakenly left running across all AWS regions for specific AWS Account

intake-parquet

Parquet plugin for Intake

intellij-rust

Rust plugin for the IntelliJ Platform

interactive-choropleth-map-using-python

Contains data and code used to create bokeh application of world obesity choropleth map

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

intermine_compose

Repo to handle docker orchestration in the cloud

internet-hosting-tool

Enable Moonlight streaming from your PC over the Internet with no configuration required

interprocess

Boost.org interprocess module

interview

Interview questions

interview-1

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

interview-2

My interview documents, algorithm implementations, etc

interview-go

golang面试题集合

interview-questions

Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题

interview_python

关于Python的面试题

interviews

Everything you need to know to get the job.

interviews-1

CS interview study sheet

interviewthis

An open source list of developer questions to ask prospective employers

introduction-to-docker

Introduction to Docker Lecture Notes from Kaan Keskin, Taha Osman Sarıaslan and Semih Teker.

investment-portfolio-performance-attribution

The purpose of this project is to measure how much of the performance of a diversified quantitative investment portfolio is significantly impacted by random market behavior, if at all. If successful, the results of this analysis will lay the groundwork for a broader analysis pertaining to the separation of alpha and beta across the investment portfolio. If the "luck" portion of the portfolio can be measured dynamically (accounting for lags etc) then a hedging tool could potentially eliminate random market risk without eroding portfolio returns in times of erratic market behavior. The methodology is to obtain historical performance data from 11 different trading models (mean reversion, pairs, market making, momentum, statistical arbitrage, etc) that together form a diversified investment portfolio over a particularly volatile trading period. I will explore the data by analyzing the distribution of performance across symbols and across time periods to reveal the structure of the performance data and how it relates to and is impacted by market behavior. I will then model the data to measure how much of the performance is explained by the market and market volatility, its clustering tendencies and its correlation to the predictor variables. Finally, I will interpret the results and reconcile the results with my original hypothesis to determine if it makes sense to continue work to create a hedging instrument for the portfolio.

investorr

Tools for quantitative finance

invisibilitycloak

Proof-of-concept obfuscation toolkit for C# post-exploitation tools