GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, and geocentric coordinates, for gravity (e.g., EGM2008), geoid, and geomagnetic field (e.g., WMM2010) calculations, and for solving geodesic problems. For documentation, visit https://geographiclib.sf.io
PeterHi is an initiative to provide a set of tools for education based on your existing IT infrastructure.
Speedy Composer – Artificial Neural Network Melody Composer.
Speedy Composer is a composition software that makes use of artificial neural networks to compose melodies. Using Speedy Composer you can create an infinite number of royalty free compositions that you can use in your own projects, share with friends, or just listen for your enjoyment, all for free! Speedy Composer generates compositions complete with melodies and accompaniment, which you can download as MIDI files or MP3 files. The melodies will be composed according to the chord progression selected by you. You can choose from a number of chord progressions available. Before you can use Speedy Composer, you need to register to Speedy Net, or log-in if you already have a Speedy Net account. The melodies you compose will be saved to your personal folders on Speedy Composer, and if you want you can make your compositions public and share them with your friends. Have fun creating music with Speedy Composer!
Recognizing biological data from a notebook.
This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis.
Pipeline for large-scale genome changes analysis of genome datasets.
The active use repository has migrated over to: https://github.com/darrenabbey/ymap The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github. -------- Eukaryotic pathogens have complicated and dynamic genomes. To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. The YMAP pipeline automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other categories of data and other pathogen species with small genomes.