Search Results for "data driven" - Page 7

GeoNotebook is an open-source extension to the Jupyter Notebook ecosystem that equips users with powerful geospatial visualization and analysis capabilities directly within the notebook interface. It integrates with GeoJS and other geospatial services to enable rich, interactive map rendering, layer control, and GIS data manipulation alongside traditional code and markdown cells in a Jupyter environment. Users can execute Python geospatial analysis and immediately visualize results on slippy web maps, allowing them to explore, annotate, and interpret large spatial datasets without leaving the notebook. GeoNotebook bridges the gap between data science workflows and GIS exploration by combining the flexibility of interactive notebooks with browser-based map display driven by a Python backend and WebGL/Canvas tools. ...

...The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as sentiment analysis. It supports multi-GPU and multi-node data-parallel training, and integrates with Horovod to scale out across large GPU clusters. Mixed-precision support (float16) is optimized for NVIDIA Volta and Turing GPUs, allowing significant speedups and memory savings without sacrificing model quality. The project comes with configuration-driven training scripts, documentation, and examples that demonstrate how to set up pipelines for tasks.

...Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way.

Serenata de Amor is an open civic technology project that uses data science and artificial intelligence to promote transparency and accountability in public administration. The project was developed by a community of volunteers associated with Open Knowledge Brasil who believe that open data and technology can help citizens monitor government spending. It focuses on analyzing publicly available datasets related to reimbursements claimed by Brazilian congress members in order to detect...

The dotCODES Source Control Maintenance Mainframe for Visual Studio is an administrator console application for developing dotCODES components. Built upon a Python foundation, the program is used to create data center routines (Unix packages) and maintain enterprise cloud services (CGI scripts/Apache) by means of building dotCODES runtimes and deploying them to and from the client server.

The QTaste is an open-source functional and non-functional test environment offering services to developers and testers. It has been implemented following a data driven testing philosophy. (WE MOVED TO GITHUB https://github.com/qspin/qtaste) Continuous Integration available at https://qtaste.ci.cloudbees.com/

We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.

Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.

Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.

Libraries and tools to support software design using executable code as specifications, to support Test Driven Development and other Agile methods.

ZTM aims to enable distributed development and maintenance of 'topic map'-driven 'semantic' web sites by handling data model information items derived from the ISO 13250 Topic Map Data Model as managed content. It is uses Zope Component Architecture.

Our goal is to develop a SWING busines framework that takes care of display and persistence of objects in data-driven applications.

XML_2_TXT Extractor is a lightweight Windows tool that converts XML files into structured TXT/CSV outputs using simple templates — no coding required. Perfect for processing XML exports from ERP systems, suppliers, or data feeds where you need to quickly extract values into a readable format. 👉 Full version, examples and updates: https://martan1484.github.io/XML2TXT/

OCR Reader is a lightweight Windows utility designed to extract text from PDF files and images using OCR (Tesseract engine). The tool supports template-based parsing, allowing structured output into CSV or TXT without manual coding. Core components Tesseract OCR engine Poppler (PDF rendering) Template-based extraction system Homepage: https://martan1484.github.io/OCR_Reader