Directory
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
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.
This is a Scaler blog category page collecting articles on artificial intelligence and machine learning. Posts listed include MLOps projects, becoming an AI research scientist, model drift detection and monitoring, and retrieval-augmented generation evaluation metrics. The page also links to categories such as software development and data science, and offers career counselling.
AI at Home, also known as Data Science at Home, is a daily technology podcast hosted by Francesco Gadaleta. It discusses AI topics, industry trends, and related issues. Episodes are available on Apple Podcasts and other platforms. The podcast encourages listener engagement via Discord, newsletters, and social media. Recent episodes cover AI slowdown, AI in gaming, and the EU AI Act.
A site listing global AI conferences and exhibitions, with live countdowns to events in machine learning, computer vision, robotics and NLP. Entries include dates, locations and links to add each conference to a calendar. The site states that countdowns use a deadline of midnight local time and advises consulting the main conference website for precise timing.
A directory of AI tools that lists featured products with short descriptions and links. Featured entries include email newsletter services, video editing, image watermark removal, AI visibility trackers, transcription and text humanizing tools. The page shows 1-25 of 4832 tools.
AI Legion is an open-source, LLM-powered autonomous agent platform hosted on GitHub. The repository provides code and documentation for building and running autonomous agents. It includes setup instructions, action error handling, and agent state management. The project is developed by eumemic and encourages community contributions.
A free AI poem generator that generates rhyming poems. Our online AI poem maker can write you a beautiful rhyming poem on any subject.
A service for generating AI profile pictures that is now available in beta. Users purchase credit to generate over 200 images, upload at least 10 photos, and wait 2-3 hours for generation.
AI Risks that Could Lead to Catastrophe is a CAIS resource focused on mitigating AI risks that could cause catastrophic societal harm. It covers four key risk categories: malicious use, AI race, organizational risks, and rogue AIs. CAIS conducts related research, field-building, and advocacy projects, and operates a compute cluster to support this work.
The AI Safety Summit 2023 is a global event held on 1 and 2 November at Bletchley Park, Buckinghamshire. It brings together international governments, AI companies, civil society groups and researchers to consider AI risks, especially at the frontier of development, and discuss mitigation through internationally coordinated action.
A TechPolicy.Press discussion with Arvind Narayanan and Sayash Kapoor, authors of AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference, published September 24 by Princeton University Press. The conversation covers AI hype and how to distinguish AI that does not work from real promise.
Creates, rewrites or summarizes written content with language models.
A deprecated GitHub repository described as an AI Gateway, a core infrastructure stack for building production-ready AI applications. It provides a universal API for inferencing over 100 LLMs and lists supported providers and endpoints such as OpenAI and Groq.
AI Today provides machine-learning models, research, training resources, or evaluation tools.
AI Valley is a curated directory of AI resources that provides daily updates of useful AI tools and prompts. It hosts over 1,700 AI tools and more than 390 prompts, organized across categories including design, copywriting, productivity, coding, and marketing for various use cases.
AI Worship Marginal REVOLUTION provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
ai-i18n is a GitHub Action that translates internationalization files using large language models. It extracts strings, translates only changed content, and commits results back to the repository. Supported providers include Anthropic, OpenAI, Ollama, and AWS Bedrock, with compatibility for XLIFF and JSON formats. It serves as a drop-in replacement for services like Lokalise, Phrase, and Crowdin.
AICAN is an artificial intelligence artist and collaborative creative partner. It generates novel images by learning about art and styles without adhering to established categories. The project presents artworks in a virtual gallery and has been featured in media for its visually appealing AI-generated art.
AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AINave is a platform for discovering new AI tools, launching products, and reading AI news for builders. Approved products get an automatic launch page that people can upvote and comment on, ranked in weekly, monthly and yearly boards.
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.
