mindis Goto Github PK
Name: Mindaugas Zickus
Type: User
Company: Marks and Spencer
Twitter: MindisZ
Location: London, UK
Mindaugas Zickus's Projects
lightpmmlpredictor
Light library for predictions trhough pmml
lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
ligra
Ligra: A Lightweight Graph Processing Framework for Shared Memory
lime
Lime: Explaining the predictions of any machine learning classifier
lime-experiments
Code for all experiments.
limetr
linear mixed effects model
linear-regression-python
linearmodels
Linear models including instrumental variable estimators and panel data models
linked-list
A singly linked list implemented in C.
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
links
Just a bunch of useful links
linqoptimizer
An automatic query optimizer-compiler for Sequential and Parallel LINQ.
liquid
Liquid markup language. Safe, customer facing template language for flexible web apps.
live-coding
material from our live coding sessions
live3
Live3 - Advanced Real-Time Social Media Analytics
liveai
twitter assistant bot
livebase
liveqaserverdemo
Demo server for TREC LiveQA competition
liverec
lltk
Lithuanian Language ToolKit
lmlfm
Longitudinal Multi-Level Factorization Machine (AAAI'20)
loan_pricing
local-embedding
local-storm-repository
A simple storm topology run on local IDE (Eclipse/IntelliJ)
location-tracker-nodejs
Demo web application which records a device's location and saves this information to IBM Cloudant
locationanalytics_android
lockebot
LockeBot: a demonstration of implementing a basic question answering bot with use of Rasa NLU and a database
locustdb
Massively parallel, high performance analytics database that will rapidly devour all of your data.
lodash
A modern JavaScript utility library delivering modularity, performance, & extras.
logicnn
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