Search Results for "database modeling"

- This Software was made with an intention to make QSAR/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on...

We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate...

Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time...

CoSD is a tool for searching and demonstrating code structure based on graph database. Since some commercial code is involved in the industrial version of CoSD , we just give out a baseline version of it. We also provide a quick demo for this baseline version. To use CoSD, please read the file readme.txt at first.

Ontology Design Patterns (ODPs) are well known and efficient modeling solutions for ontologies. This public catalog offers a collection of well documented and tested ODPs, including examples from the biological knowledge domain, implemented in OWL.

Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.

Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.

Envision is a Data Mining Tool for Business Analisys and Modeling, based on MySQL and Weka. It is completely Web/Java Based and easy to use. By Anthas Consulting.

Knowledge Management System of China , Support Healthcare,Oil development, electric power etc. Knowledge Drived Industry. Modeling driven, Event driven ; Open Source, Internationalization,

Links connect data points, but until read by a mind they are not information. Chords provide an easy way to connect several links, or Ringtail's, in subjective relationships that make them more informative. Embiblio servers store and distribute Chords. Neurok takes Chords and turns them into neural networks, who reference an Embiblio database. People might like to use Chords to communicate concepts more effectively to other people. With a GenieBulb's (a mapping to WebServices),...

Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were processed using rule-based sectioning and tokenized with SciSpacy. Training was done for 150,000 steps using a batch size of 32, max sequence length of 128, and a masked language modeling objective with a 0.15 mask probability. ...