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Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
Discriminative subgraph mining by learning from search history
...LTS is an improvement on other subgraph mining algorithms because it uses empirical data from the search history of a first pass to help weed out unpromising search directions. This allows a second pass to spend more time investigating promising areas of search to generate the most discriminative subgraphs more quickly than before.
A Java tool for mining pathway mentions from literature
PathNER is a tool for the identification of specific pathway mentions from biomedical literature. PathNER is built upon the GATE embedded framework.It's based on soft dictionary matching and rules-based detection. The dictionary is generated from ConsensusPathDB and Pathway Ontology and the rules are implemented in JAPE. Using PathNER, you can identify all occurrences of informative pathway names (e.g. 'the Wnt pathway'). PathNER can be used to assist studies that aim at uncovering...
The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!
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The Energy Sensing and Monitoring Infrastructure of the GAMES project
...The ESMI is the monitoring and sensing infrastructure which allows the fine-grained measurement and provides both an event-based and a real-time stream of data conveying information about the energy consumption in the key points of the overall system. It is completed by a set of Nagios plugin and an assessment tool which implements some green Performance Indicators and integrates data mining with the self adaptive controllers of the entire framework.
Ruleminer is an experimental tool for performing various data-mining tasks, especially focused on searching for association rules. The aim is to research the association rules mining process and to develop new approaches for solving the related problems.
This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.
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MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).
The program versusSNP is a flexible tool for mining SNPs between two close related genomes. First, we align all the orthologous genes and select SNPs, then the SNPs are separated into categories based on their mutation types.
MSA2SNP is a tool for mining SNP sites in multiple sequence alignment (MSA). This tool inherits the easy-to-use interface from MEGA4 Explorer with advance data presentation. MSA2SNP lets you visualize alignments and import from CLUSTAL program directly.
Development stop on the standalone application, ported as an autopsy module now: http://www.4ensics.co.uk/smutdetect4autopsy/
SmutDetect is a skin-tone image mining software which scans directories for images containing a specified percentage of skin-tones. It ranks (and filters) these images in various reports. Hash-export can be used to process the results in TSK/autopsy.
A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
Knime (http://www.knime.org) nodes for sequence bioinformatics. Sequime is an eclipse plug-in for the KNIME data mining platform, providing additional nodes for reading, processing and visualizing sequence information.
Windows application for data mining with self-organizing neural networks. It works with text data files and has convenient user interface. Is solves data mining tasks of class Recognition, continuous value Prediction, and time series Forecast.
Cougar Squared is a new Java library for machine learning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.
Data mining tool for sequences (e.g. trajectories on a map, visited web pages, etc.) that creates a succinct description of the sequences, given a taxonomy (e.g. regions and sub-regions in the map, categories and sub-categories of pages, etc.).
Ferda is a user friendly data mining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.
Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.