The Hiveeyes Project is developing a flexible beehive monitoring infrastructure platform and toolkit based on affordable hardware, wireless telemetry and modern software. Open source, open hardware and a friendly community.
Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.
pybossa - PyBossa is an open source platform for crowd-sourcing online (volunteer) assistance to perform tasks that require human cognition, knowledge or intelligence (e.g. image classification, transcription, information location etc).
Bossa is an open-source software framework for distributed thinking - the use of volunteers on the Internet to perform tasks that use human cognition, knowledge, or intelligence.
PyBossa is a free, open-source, platform for creating and running crowd-sourcing applications that utilise online assistance in performing tasks that require human cognition, knowledge or intelligence such as image classification, transcription, geocoding and more!
Internetfirmen müssen für den Betrieb ihrer Dienste täglich Datenmengen im Giga- und Petabereich speichern und effizient verarbeiten. Den Part der Datenverarbeitung können Googles MapReduce oder die Open-Source-Nachbildung Hadoop übernehmen.
Arduino is an open-source electronics prototyping platform based on flexible, easy-to-use hardware and software. It's intended for artists, designers, hobbyists, and anyone interested in creating interactive objects or environments.
Arduino can sense the environment by receiving input from a variety of sensors and can affect its surroundings by controlling lights, motors, and other actuators. The microcontroller on the board is programmed using the Arduino programming language (based on Wiring) and the Arduino development environment (based on Processing). Arduino projects can be stand-alone or they can communicate with software on running on a computer (e.g. Flash, Processing, MaxMSP).
The boards can be built by hand or purchased preassembled; the software can be downloaded for free. The hardware reference designs (CAD files) are available under an open-source license, you are free to adapt them to your needs.
This is the home page of the ParsCit project, which performs reference string parsing, sometimes also called citation parsing or citation extraction. It is architected as a supervised machine learning procedure that uses Conditional Random Fields as its learning mechanism. You can download the code below, parse strings online, or send batch jobs to our web service (coming soon!). The code contains both the training data, feature generator and shell scripts to connect the system to a web service (used here too).