Directory
Published directory entries matching your search.
A Towards Data Science article by Hui Wen Goh evaluating popular hallucination detectors, including G-eval, Ragas and the Trustworthy Language Model, across four public RAG datasets. Using AUROC and precision/recall, it reports how well the methods automatically flag incorrect LLM responses in retrieval-augmented generation systems.
lambda-ml is a small machine learning library written in Lisp, specifically Clojure, aimed at simple, concise implementations of machine learning techniques and utilities. It covers supervised algorithms such as neural networks, decision trees, ensemble methods, k-nearest neighbors, linear and logistic regression, naive Bayes and random forest, plus unsupervised methods including DBSCAN, hierarchical clustering, k-means and non-negative matrix factorization.
ManifoldLearning.jl is a Julia package for manifold learning and nonlinear dimensionality reduction. It provides methods including Isomap, diffusion maps, locally linear embedding, Hessian eigenmaps, Laplacian eigenmaps, local tangent space alignment and t-SNE. Most methods use k-nearest neighbors to construct local subspace representation, and a custom k-nearest neighbors function is suggested for large datasets.
The NIST Digital Library of Mathematical Functions is an online reference covering special functions, organized into chapters such as algebraic and analytic methods, numerical methods, and orthogonal polynomials. It provides an index, notations, a guide to searching, permalinks and reference numbers for citing specific equations, tables and figures, and a list of software and errata.
The case against AI-generated users is an IDEO journal article that explores the use of AI-generated synthetic users for design research. It discusses alternative methods to meet research goals, compares the value of traditional design research to outputs from large language models, and offers forward-looking perspectives on design research practices.
The Eurac Research CLARIN Centre is a repository for language data hosted by the Institute for Applied Linguistics at Eurac Research in Bolzano. It is part of the Europe-wide CLARIN infrastructure and hosts data collected at the institute while also accepting deposits from external collaborators.
Keenious is an AI-assisted tool for exploring published academic research. It searches about 177M publications, groups results into research areas on a map, and explains unfamiliar terms, methods, and statistics beside the paper. It also translates studies published in other languages. The source states it does not write essays, paragraphs, or assignment outlines.
CLARIN-ERIC is a European research infrastructure offering sustainable access to a wide range of language data and tools to support research in humanities and social sciences. It coordinates national consortia, knowledge centres, and projects. It provides resources including a federated data search engine, the Virtual Language Observatory, and the Language Resource Switchboard. It also offers training, education, and outreach activities.
The page lists panel datasets provided by the Panel Data Research Center at Keio University, including the Japan Household Panel Survey, Japan Child Panel Survey, and Great East Japan Earthquake Special Survey. It also links to survey objectives, items, methods, and questionnaires for each dataset.
Browse research datasets and experimental data related to astrophysics and astronomy.
WorldPop is a geospatial and population research project that develops and provides open access, high-resolution spatial demographic datasets and solutions, with a focus on low- and middle-income countries. The project creates peer-reviewed research and methods for constructing these datasets, and offers access to bespoke country-level and global or regional datasets, along with tools including an API and GIS plugins.
AIDA Data Hub is a Swedish national e-infrastructure for research and clinical innovation in data-driven precision health, focused on multi-modal diagnostics and medical imaging AI. It offers data, services, compute and storage resources, and support to researchers, industry, and caregivers. It is hosted by Linköping University's CMIV and is part of the SciLifeLab Bioinformatics Platform.
AidData is a research lab at William & Mary that provides evidence on how sustainable development investments are targeted, monitored, and evaluated. It uses rigorous methods, tools, and granular data to examine who is doing what, where, for whom, and to what effect. It also offers training and professional education.
Open source investigation toolkit with guides, resources, and research methods from Bellingcat.
The Coronavirus Government Response Tracker, formally the Oxford Covid-19 Government Response Tracker (OxCGRT), is a project run by the University of Oxford Blavatnik School of Government. It tracked and compared COVID-19 policy responses across the globe consistently over 2020, 2021, and 2022, and released the collected policy data for free public use. The project team continues to research the impacts and determinants of pandemic policy, and collaborates with partners to develop fast-deployment data collection methods for use in future pandemics.
FULIR Data is a repository of research data and datasets with open access. The listing shows a recently added dataset of NMR spectra for a study on antibiotics, with each folder containing the NMR data of one sample and multiple spectra per sample.
OSINT blog and resource site covering investigative methods, tools, privacy, and research workflows.
The Repository SAW Leipzig is the repository of the Saxon Academy of Sciences and Humanities in Leipzig. It hosts digital resources of its parent institution and partners with descriptive metadata and long-term preservation, focusing on lexical resources, text corpora and general language resources for under-resourced languages. Resources are accessible through research-specific applications.
Research and explainers on dark-web investigations, criminal forums and threat-intelligence methods.
Sophon is an AI research paper platform. It showcases trending AI research papers, with each paper linked to the benchmarks, methods and models it introduces. The platform's filtering view covers the 2,000 most recent papers, and it maintains a full index of 22,445 papers.
The Department of Space Information Technologies and Systems at the Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine works on remote sensing data, geoinformation systems and machine and deep learning methods.
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
Aikoku Gakuen University Academic Repository is the academic institutional repository for Aikoku Gakuen University, built using the WEKO3 platform. It provides keyword and full-text search, advanced search options, multiple result sorting methods by metadata, and functions to export or print search results.
