Agent4Rec is a recommender system simulator with 1,000 LLM-empowered generative agents initialized from the MovieLens-1M dataset. Each agent interacts with personalized movie recommendations page by page and performs actions such as watching, rating, evaluating, exiting and interviewing. It accompanies the paper "On Generative Agents in Recommendation."
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Agents is an open-source framework for data-centric, self-evolving autonomous language agents. It introduces agent symbolic learning, which treats an agent pipeline like a computational graph and uses prompt-based loss, back-propagation and weight updates to train agents. The project also supports optimizing multi-agent systems and was updated to Agents 2.0 with agent learning and evaluation support.
AI Expert Roadmap presents a set of charts showing paths and technologies for becoming a data scientist, machine learning or AI expert. An interactive version with links is available online, and the project is published under the MIT license.
🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents
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.
AILab-CVC/VideoCrafter is an open-source video diffusion model project. Its VideoCrafter2 iteration is designed to overcome data limitations for high-quality video generation, with improvements over the previous version including better motion rendering and concept combination, and supports generic text-to-video generation.
AM (Application Manager) is an open-source package manager for GNU/Linux systems focused on AppImage and portable application management. It supports AppImage sandboxing, local and system-wide installation, batch updates, an extensible database of AppImages and portable apps, drag-and-drop integration, and conversion of older AppImage formats.
Ambrosia is a cross-platform command line tool written in Go for improving text datasets used in machine learning. It offers fast deduplication, filtering, length checking and whitespace trimming, plus an LLM-based filtering option called psort. It ships as a single binary with no dependencies and is pre-1.0 software.
Lightweight analytics reporting and publishing tool for Digital Analytics Program's Google Analytics 360 data.
Android Virtual Pen is a tool that sends pen input data from an Android device to a PC host, which emulates a virtual pen. It emphasizes low latency for drawing. Features include adjustable pen pressure threshold and sensitivity, eraser support, and stretched or fixed display modes. It supports X11 and Wayland, and can target only the primary screen; pen tilt is not supported.
ANGRYsearch is a Linux file search tool that returns instant results as you type, written in Python 3 with a PyQt5 GUI. It offers lite and full modes, and fast, slow and regex search modes. The database and config files are stored locally; indexing about one million files can take roughly two minutes.
AniSD is an experimental GLSL shader for video upscaling. It is trained on a mini version of the AniSD dataset using the ArtCNN architecture and supports real-time inference on lower-end devices.
Annoy is a C++ library with Python bindings for approximate nearest neighbor search. It creates large read-only file-based indexes that are mmapped into memory so many processes can share the same data. Supported distances include Euclidean, Manhattan, cosine, Hamming and dot product.
AnythingLLM is an all-in-one AI application for chatting with documents, using AI agents, and connecting local or cloud LLMs. It includes a built-in local LLM engine, vector databases, document pipelines, multi-user support, and a no-code agent builder. It is distributed under an MIT license.
Platform for Production Data Science.
Aria2 is a command-line download utility supporting HTTP(S), FTP, SFTP, BitTorrent and Metalink. It can download from multiple sources and protocols simultaneously, and uses Metalink chunk checksums to validate data during downloads. It offers a JSON-RPC and XML-RPC interface and can run as a daemon process.
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.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras is an AutoML library for deep learning built on Keras, developed by DATA Lab at Texas A&M University. The project describes its goal as making machine learning accessible to everyone. It can be installed with pip, and the documentation states it is currently only compatible with Python 3.7 or later and TensorFlow 2.8.0 or later.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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 ACG is a curated list of tools and projects related to anime, comics, games, light novels, visual novels, vocaloid and touhou. Its contents cover audio, danmaku, downloaders, database APIs, data sources, image boards, image generation, image processing, image recognition, mobile apps, subtitles, tools and web resources.
Awesome BSD is a curated link database covering BSD operating systems and BSD-licensed software. It is organized into sections for operating systems, BSD news, forums and communities, learning resources, books, BSD-related software, and gaming.