• Provenance@Harvard
• CamFlow
• W3C PROV-DM. Data model for provenance

• The analysis of VERITAS muon images using convolutional neural networks
  Применение нейросети типа convolutional neural network из библиотеки Keras (с TensorFlow в качестве интерфейса) в задаче идентификации частиц гамма-адроны в гамма-телескопе VERITAS.
• Particle Identification in Cherenkov Detectors using Convolutional Neural Networks
  Применение нейросети такого же типа тоже в TensorFlow к идентификации частиц электрон-мюон, правда, не в гамма-телескопах, а в другом черенковском астрофизическом проекте Super-Kamiokande.
• Exploring deep learning as an event classification method for the Cherenkov Telescope Array
  Применение нейросети такого же типа к идентификации гамма-адроны в будущих гамма-телескопах CTA. Правда, в качестве интерфейса к библиотеке Keras вместо TensorFlow ипользуется другая аналогичная среда Theano.
• A deep learning-based reconstruction of cosmic ray-induced air showers
• Что такое свёрточная нейронная сеть
• Deep learning

• Intel nGraph: An open source library for developing frameworks that can efficiently run deep learning computations on a variety of compute platforms

Kaitai Struct

Kaitai Struct is a declarative language used for describe various binary data structures, laid out in files or in memory: i.e. binary file formats, network stream packet formats, etc.

The main idea is that a particular format is described in Kaitai Struct language (.ksy file) and then can be compiled with ksc into source files in one of the supported programming languages. These modules will include a generated code for a parser that can read described data structure from a file / stream and give access to it in a nice, easy-to-comprehend API.

Обратная разработка бинарных форматов с помощью Kaitai Struct

Data Format Description Language (DFDL)

Data Format Description Language (DFDL) is a language for describing text and binary data formats. A DFDL description allows any text or binary data to be read from its native format and to be presented as an instance of an information set. DFDL also allows data to be taken from an instance of an information set and written out to its native format. DFDL achieves this by leveraging W3C XML Schema Definition Language (XSDL) 1.0. It is therefore very easy to use DFDL to convert text and binary data to a corresponding XML document.

• Good enough practices in scientific computing
• Best Practices for Scientific Computing
• Ten Simple Rules for Digital Data Storage
• Ten Simple Rules for Reproducible Computational Research
• Towards a Model for Computing in European Astroparticle Physics
• Functional and Architectural Requirements for Metadata: Supporting Discovery and Management of Scientific Data

BigchainDB
BigchainDB is for developers and organizations looking for a scalable, queryable database with blockchain characteristics such as decentralization, immutability and the ability to treat anything stored in the database as an asset.