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Basic Computer Games is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Computer Science Lecture Links is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Fantasy Consoles / Computers is a GitHub repository or organization with source code, releases, documentation, or project resources.
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C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
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PyTorchCV is a PyTorch-based framework for deep learning in computer vision. The repository provides source code for computer vision problems, with implemented papers covering image classification, semantic segmentation, object detection, pose estimation and instance segmentation.
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Chronicler is a free, offline worldbuilding tool and local wiki for writers, game masters, and tabletop RPG creators. It saves notes as plain Markdown files on the user's computer and is source-available rather than open-source. It runs 100% offline with no sign-up, subscription, or cloud storage.
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This is a curated gallery of interesting Jupyter Notebooks, organized by topic categories including introductory tutorials, programming and computer science, statistics and machine learning, data science, mathematics, physics, chemistry, biology, earth science, geo-spatial data, linguistics, and text mining.
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AI Horde is a crowdsourced distributed cluster for AI art and text generation. Volunteers share computer power through workers, and requests are matched to available volunteer computers. A kudos point system gives priority, and kudos cannot be bought or sold. The service is free and community-run.
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Universal x86 Tuning Utility is an open-source tuning tool for x86 laptops and computers that offers control over the processor and GPUs. It is described as a lightweight alternative to Ryzen Master and XTU and is noted to work best on Zen-based CPUs or APUs and Intel CPUs from 4th gen and newer. The project is marked as a work in progress.
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AutoRAG is a project developed by Marker-Inc-Korea that enables an agent to locate content on a user's computer. Its functionality improves with frequent use, and it includes an agent component with defined core values, architecture and operational details.
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Organizes AI tools and resources so people can browse and compare relevant services.
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Awesome Detection Transformer is a GitHub-hosted public collection of research papers focused on transformer-based approaches for computer vision detection and segmentation. The repository organizes papers by research field, and invites community contributions of overlooked papers or resources via issues or pull requests. It also references related toolboxes for transformer-based object detection work.
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Awesome Educational Games is a curated list of educational games designed to help users learn editors, programming languages, and other technical skills, with additional related educational articles, organized into categories such as art & design, CSS, and math & computer science.
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A curated list of tools, projects, images and resources for the Raspberry Pi, a series of credit card-sized single-board computers developed in the United Kingdom by the Raspberry Pi Foundation. The list follows the Awesome Manifesto and accepts contributions.
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Buzz is a tool that transcribes and translates audio offline on a personal computer, powered by OpenAI's Whisper. The GitHub repository is released under the MIT license and includes documentation and installation resources.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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croc is a command-line tool for transferring files and folders between two computers. It uses peer-to-peer transfer with relay fallback and end-to-end encryption using PAKE. It supports cross-platform transfers on Windows, Linux, Mac and browser, multiple file transfers, and resuming interrupted transfers, without a local server or port-forwarding.
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Deskhop is a hardware device for fast desktop switching. It enables users to switch between multiple computers or desktops quickly using mouse and keyboard. The project is hosted on GitHub and provides documentation on features and operation.
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Deskreen is an electron.js application that uses WebRTC to stream a computer screen live to a web browser on any device, turning any device with a web browser into a secondary screen. It is available for MacOS, Windows and Linux. The open-source Community Edition version has limited features, with a Pro version planned.
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Detecto is a Python package for building computer vision and object detection models with PyTorch. It supports inference on still images and videos, transfer learning on custom datasets, and serialization of models to files, and is distributed under an MIT license.
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Detectron2 is Facebook AI Research's next generation library providing detection and segmentation algorithms, succeeding Detectron and maskrcnn-benchmark. It supports computer vision research projects and production applications at Facebook and includes capabilities such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, ViTDet and MViTv2. Models can be exported to TorchScript or Caffe2 format for deployment.
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Diffusionbee Stable Diffusion UI is a GitHub-hosted project that provides a graphical user interface for running Stable Diffusion locally on macOS. It supports Intel and M1 Mac computers, includes a one-click installer, and requires no additional dependencies or technical knowledge to operate. It is listed under the AI & Machine Learning category focused on AI image generation.
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GoCV is a Go package providing language bindings for the OpenCV 4 computer vision library. It supports recent Go and OpenCV releases (v4.12.0) on Linux, Docker, macOS, and Windows, and includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
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Handwriting-OCR is a project that tries to create software for recognizing handwritten text from photos, including Czech language, using computer vision and machine learning. Recognition is divided into four steps, from page detection through word separation and normalization to character recognition. It is written in Python 3.6 with Jupyter Notebook, and the repository was archived by its owner.