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Published directory entries matching your search.
Accord.MachineLearning is a NuGet package, part of the Accord.NET Framework, that contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models, and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. Version 3.8.0 targets .NET Standard 1.4 and .NET Framework 3.5.
Paper published in the Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society.
An article by Andy Baio examining how AI companies use datasets and models from academic and nonprofit research groups. It describes Meta's Make-A-Video using Shutterstock clips and YouTube videos collected by Microsoft, and notes nonprofit datasets used for Stable Diffusion and other models. It argues this outsourcing shifts accountability and legal liability away from corporations.
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
25th Aug, 2023 Feature: Adding TextArea for custom prompts.
A super-easy way to record, search and compare 1000s of ML training runs.
Airweave is an open-source context retrieval layer for AI agents. It aims to provide relevant context to support agent functionalities. The project is hosted on GitHub by the airweave-ai organization.
Algorithms of Oppression by Safiya Umoja Noble is a book published by NYU Press in February 2018 under the title How Search Engines Reinforce Racism. It examines how negative biases against women of color are embedded in search engine results and algorithms.
ClearML is an AI infrastructure platform organized in three layers. The Infrastructure Control Plane connects and manages GPU clusters across on-premises, cloud, and hybrid environments, with multi-tenancy, role-based access control, and billing. The AI Development Center provides a workbench for developing, training, and testing models. The GenAI App Engine deploys LLMs onto clusters, with ClearML handling networking, authentication, and security.
Aman's AI Journal papers list compiles seminal and need-to-know computer vision papers, organized by publication year from 2010 onward. Entries include titles such as ImageNet Classification with Deep Convolutional Neural Networks, Generative Adversarial Networks, and Deep Residual Learning for Image Recognition. The site also offers course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.
Custom Google search engine focused on finding video and streaming resources across selected websites.
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
Archivarix Tube Search is a search engine for finding deleted, removed, and unavailable YouTube videos. It searches the Wayback Machine, Common Crawl, and other web archives to recover video metadata, thumbnails, subtitles, and links to archived video files. Users can search by channel, by video URL or ID, or full-text.
Search engine for finding arguments, claims, and supporting sources for debates.
Artificial Intelligence: A Modern Approach is the official companion site for the 4th US edition of the AI textbook of the same name, authored by Stuart Russell and Peter Norvig. The textbook is the most widely used AI textbook, adopted by over 1500 schools. The site provides supporting resources including the book's table of contents, code, course materials, exercises, figures, and errata.
Question-focused search engine and web portal for finding answers, pages, images, and news.
Custom Google search engine focused on finding audio resources across selected websites.
Audiolabs, formally the International Audio Laboratories Erlangen, is a joint research institution operated by Fraunhofer IIS and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), founded in 2010. The organization conducts research in audio and multimedia technologies, with focus areas including audio coding, audio signal analysis, and perceptual spatial audio signal processing. It also hosts academic events including the International Symposium on the Internet of Sounds.
Automatic architecture search and hyperparameter optimization for PyTorch.
Awadb is an AI-native database built for working with embedding vectors. It is available as a public open-source repository on GitHub, where users can access the code, contribute to development, or deploy it locally on Mac OSX or Linux, or run it as a standalone service. The project is designed to support AI applications that rely on vector embedding functionality.
Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
