1,984 skills found · Page 5 of 67
jeroenterheerdt / HADailySensorSensor for Home Assistant that gets reset at midnight
L-Dot / Letterboxd List ScraperA program that can scrape Letterboxd lists from an input URL. The output CSV or JSON contains information about the film title, release year, director, cast, personal rating, average rating and a lot more.
JChristensen / MovingAvgA simple Arduino library for calculating moving averages.
nickvangilder / Most Average C2 EverThe most average C2 ever (MACE)
flipkart-incubator / Okhttp StatsOkHttp Analytical library to get stats like average network speed. Also get global callbacks for network errors and successes. Can be used for logging errors to Fabric or Firebase analytical tools
KTH-FlowAI / Physics Informed Neural Networks For Solving Reynolds Averaged Navier Stokes EquationsNo description available
christophhagen / Averaging QuaternionsPython function for correct averaging of multiple quaternions
cslu-nlp / DetectorMorseFast supervised sentence boundary detection using the averaged perceptron
fast-average-color / Fast Average Color Node🍏🍊🍅 A simple library that calculates the average color of any images for Node.js
mihakralj / QuanTAlibC# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
timbennett / Movie BarcodesTurn video files into 'barcodes' where vertical lines represent the average colour of individual frames.
Przemol / Seqplots:chart_with_upwards_trend:SeqPlots - An interactive tool for visualizing NGS signals and sequence motif densities along genomic features using average plots and heatmaps.
igormoondev / Forex Meta Trader Trading BotA Python trading bot that implements a Trend Following Strategy using Moving Average crossovers for FOREX (MetaTrader 5).
lindes / Ttyloadttyload -- "graphical" tracking of UNIX load average in a terminal ("tty")
pipermerriam / Am I UnderpaidA simple application for a group of employees to find out their average salaries without exposing any individual salary information.
johnwmillr / FacerSimple (🤞) face averaging (🙂) in Python (🐍)
dcapal / DcapalDcaPal is a free, no registration, online tool to help you keep your portfolio balanced with dollar cost averaging investments
matteobettini / Traffic Assignment Frank Wolfe 2021This simple script computes the traffic assignment using the Frank-Wolfe algorithm (FW) or the Method of successive averages (MSA). It can compute the User Equilibrium (UE) assignment or the System Optimal (SO) assignment. The travel time cost function that models the effect of congestion on travel time is pluggable and definable by the users.
ryu878 / Bybit Scalp Bot V2Bybit scalp bot v2 (with binance data to check moving averages)
superhen / Automated Job Resume Matching SolutionAccording to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
