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.
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A GitHub repository offering 168 free AI developer resources, described as samples from a larger AI Engineering Stack. It contains prompts, frameworks and configuration files organized into categories such as agent frameworks, code review, security and vibe coding, intended for use with Claude, ChatGPT, Gemini, Cursor and other language models.
AIToolbox is a toolbox of AI modules written in Swift, covering graphs and trees, support vector machines, neural networks, PCA, K-Means and genetic algorithms. The framework uses the Accelerate library to speed up computations, except the Linux package versions. A Swift Package is available for Mac and Linux, described as a sub-set of the full framework.
The Alvin Frame-Grabber system gives the NDSF community online access to Alvin's video imagery co-registered with vehicle navigation and attitude data. It is used for shipboard analysis, planning deep submergence research cruises, and synoptic review of data after a cruise.
AppMockUp Studio is a web-based designer for App Store and Google Play Store screenshots. It provides professional templates and device frames, and users can customize device frames, backgrounds, logos, titles and subtitles. The site states no account is required and that it is fast and free.
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
AutoGen is a programming framework for agentic AI. It provides developers with tools to create and manage AI agents that can perform tasks autonomously. The framework is designed to facilitate the development of multi-agent systems.
A collection of cheatsheets for popular programming languages, frameworks and development tools, each intended to include everything needed in one file. It covers languages such as Bash, C, C# and JavaScript, backend tools including Django and Node.js, frontend frameworks such as React and Vue, plus Redis, Docker and Kubernetes.
BentoML is a unified model serving framework. It enables users to build model inference APIs, job queues, LLM applications, and multi-model pipelines. The framework supports local execution and deployment via Docker.
Better Auth is a framework-agnostic authentication and authorization framework for TypeScript. It provides built-in email and password authentication, account and session management, social sign-on, two-factor authentication, and a rate limiter, and can be extended with plugins for features such as passkeys and multi-tenancy. It supports most popular frameworks and requires a database, such as SQLite, PostgreSQL, or MySQL, to store user data.
Building Effective Agents is an Anthropic engineering publication that details the company's approach to developing reliable large language model (LLM) agents. It covers research on agent capabilities, safety considerations, technical frameworks, and practical guidance for developers, noting that simple, composable patterns are more effective than complex frameworks for successful agent implementations. It also references Anthropic's Claude Managed Agents.
Cook Well is a recipe and cooking-education site with over 600 recipes and frameworks, video explanations of technique, and an app with a meal planner and self-building grocery lists. Recipes can be browsed free, while membership unlocks the planner, all new recipes, frameworks and AI features.
distilabel is a framework for synthetic data generation and AI feedback intended for engineers. It provides fast, reliable, and scalable pipelines based on verified research papers, supporting data synthesis for AI systems and on-the-fly feedback addition. The framework aims to improve AI output quality via enhanced data quality, give users control over their data and models, and boost efficiency through rapid iteration on research and large language models.
Enact is an app development framework built atop React that provides a full framework for developers. It includes customizable widgets, a command-line tool for initializing projects, and solutions for internationalization, accessibility, focus management, linting, testing and building. Limestone is its TV-centric UI library with over 50 components for large-screen applications.
FliiipBook is a web app for drawing frame-by-frame animations and exporting them as GIFs in the browser. It includes onion skinning, timeline controls and keyboard shortcuts, and works best on desktop or tablet.
Gifsicle is a command-line tool for creating, editing, and getting information about GIF images and animations. It supports batch mode, frame replacement, deletion and insertion, and an optimizer that stores only changed portions of each frame. It can print GIF details, control interlacing, looping and transparency, and shrink colormaps. Two additional programs, gifview and gifdiff, are included.
Kubeflow Katib is a Kubernetes-native project for automated machine learning (AutoML). It supports hyperparameter tuning, early stopping and neural architecture search, and is agnostic to machine learning frameworks, natively supporting frameworks such as TensorFlow, PyTorch and XGBoost. Training jobs can use any Kubernetes Custom Resources, with out-of-box support for Kubeflow Training Operator, Argo Workflows and Tekton Pipelines. A Python SDK simplifies creating tuning jobs.
KServe is a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes. It is a Cloud Native Computing Foundation incubating project. The platform supports backends such as vLLM and llm-d for serving LLMs, and multi-framework predictive serving. Standalone installation on standard Kubernetes is described as more lightweight but without canary deployment or request-based autoscaling with scale-to-zero.
Lightwood is an AutoML framework that generates and customizes machine learning pipelines using a declarative JSON-AI syntax. It handles data types such as numbers, dates, categories, tags, text, arrays and multimedia formats, and includes a time-series mode. Users can override defaults or replace pipeline steps, and the framework generates Python code for the pipeline.
SVPcode is a component of the SmoothVideo Project that re-encodes video files into high frame rate, preserving all audio and subtitle tracks from the source video. It is added during SVP installation or through the Maintain SVP 4 application. Basic settings offer H.264 or H.265 codecs and software or hardware encoders.
Marp, the Markdown Presentation Ecosystem, is a toolset for creating slide decks from Markdown documents. Its format is based on CommonMark, with a ruler for splitting pages. It supports directives, extended syntax, and built-in themes, with CSS theming. Markdown can be converted into presentation-ready HTML, PDF, and PowerPoint files. The ecosystem includes Marp for VS Code and Marp CLI, and is built on the Marpit framework.
Mastra is a TypeScript AI framework for building agents and AI applications. It includes built-in memory, tool support, MCP compatibility, and observability features to support development from prototype to production. The framework also offers workflow tools, agent factory functionality, cloud deployment servers, and an agent builder for evaluation and iteration.
Metasploit is a penetration testing framework developed as a collaboration between the open source community and Rapid7. It is used to find security issues, verify vulnerability mitigations and manage security assessments. The Metasploit Framework is open source, and Metasploit Pro is a commercial product with support. Documentation and community channels are available for help.
Model-agnostic SDK for building, orchestrating and deploying AI agents and multi-agent systems, with built-in support for OpenAI, Azure OpenAI, Hugging Face and Nvidia. It offers tools/plugins, memory, planning, vector database integrations and a process framework. Microsoft states that Semantic Kernel is now Microsoft Agent Framework.