Search Results for "tagging"

cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...

...Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging, sketch notes, and story building so teams can annotate findings and share context without losing the raw data trail. Integrations with popular DFIR pipelines make ingestion repeatable, while role-based access and audit logs support enterprise workflows. By combining scale, collaboration, and reproducibility, Timesketch moves incident response beyond ad-hoc spreadsheets to a durable, team-oriented investigation record.

SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar

Uses alternate data streams to provide arbitrary tagging and searching of files within NTFS and other modern file systems supporting alternate data streams. Customisable vocabulary provides searchable standardised tagging system of file associations. Unlike most other file archiving systems, no additional database is required, and the system is robust, and persists file attributes irrespective of renaming / moving / copying / modifying etc.

Seer is a multipurpose data analysis package for Monte Carlo simulation data, particularly for collider physics processes. Seer reads LHCO files and performs a variety of cuts and analyses on the data for either exploratory data analysis or reproduction of experimental studies.