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Reference is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Google Dork Cheatsheet is a reference resource that documents Google advanced search operators and accompanying example queries. It lists operators such as allintext, inurl, filetype, and related, along with sample searches for use cases including locating specific file types, site-specific content, and publicly indexed directories.
github.com
AutoPR was a GitHub Action that autonomously generated pull requests in response to issues, triggered by adding a label containing AutoPR. It planned a fix, wrote code, pushed a branch and opened a pull request. The alpha-release action had limitations including incorrect references to code in other files, duplicated lines and calls to functions that don't exist, and worked only on GitHub. The repository was archived by the owner on Mar 5, 2026 and is now read-only.
github.com
Awesome AutoML Papers is a GitHub-hosted curated list focused on automated machine learning (AutoML). It aggregates academic papers, articles, tutorials, slide decks, and related projects in the AutoML field, serving as a centralized reference for users exploring automated machine learning research and developments.
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Awesome CSEs is a public GitHub repository that hosts a list of custom browser search engine configurations and shortcuts. It is designed to improve daily workflow by replacing Chrome's default long, hard-to-trigger custom search engine keywords with short, memorable alternatives. The list includes provided shortcuts for services including Gmail, GitHub, Amazon, Airbnb, reference sites, and specialized tools like filming location and whois lookups, reducing the number of keystrokes needed to access targeted search results directly.
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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 for One Liner is an open-source curated list project hosted on GitHub. It compiles useful commands for creating Unix shell one-liners, including references to utilities such as moreutils, dateutils, and uniutils.
github.com
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.
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A GitHub collection of graph classification papers with reference implementations, covering embedding, deep learning, graph kernel and factorization methods. It also links to graph classification benchmark datasets and similar curated collections.
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Awesome KDE is a curated open-source list of high-quality applications, extensions, modules, themes, and tools designed for use with the KDE desktop environment on Linux systems. The repository is organized into sections including applications, internet and networking, and graphics and imaging software for easy reference.
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beatoraja English Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Caffe is a deep learning framework developed by Berkeley AI Research and community contributors, designed with expression, speed, and modularity in mind. It is released under the BSD 2-Clause license and includes associated reference models.
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cheat.sh is a cheat sheet resource available on GitHub. It provides quick reference information and includes a command-line client named cht.sh. The project aims to offer concise documentation for various commands and programming topics.
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Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation. The repository also references YOLO object detection work, including YOLOv7 and Scaled-YOLOv4 papers and source code.
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A GitHub repository curated by mustbeperfect that compiles a definitive list of the best consumer-facing open source projects. It acts as a reference for users looking for high-quality open-source consumer tools.
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Repository containing references and code for the book Distributed Machine Learning Patterns from Manning Publications by Yuan Tang. The book covers applying patterns to build scalable and reliable machine learning systems, constructing pipelines with data ingestion, distributed training and model serving, and automating tasks with Kubernetes, TensorFlow, Kubeflow and Argo Workflows.
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Dolphin Performance Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
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) - reference implementation of a DVM (Data Vending Machine) backend
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filestack-js is the official JavaScript SDK for the Filestack API and content ingestion system. It is hosted as an open-source repository on GitHub, with documentation covering installation, API reference, usage instructions, and supported browser compatibility.
github.com
awesome-vibe-coding is a curated GitHub repository maintained by filipecalegario that compiles references for vibe coding, the practice of collaborating with AI to write code. The list includes resources for browser-based tools, IDEs, and code editors relevant to this development approach. The repository accepts community contributions.
github.com
Gillian Guide.github.io is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms. It provides a standard API between learning algorithms and environments, plus reference environments including Classic Control, Box2D, Toy Text, MuJoCo and Atari. It is a fork of OpenAI's Gym library maintained by its maintainers.
github.com
Hellwal is a color palette generator comparable to Pywal, written in C. Given a wallpaper image it generates color templates, which are saved to ~/.cache/hellwal/. Templates can reference colors 0 to 15 in hex, rgb or single rgb channel formats and support HSL and RGB operations. It is available via AUR, Homebrew and Nixpkgs, or can be built with make.
Pix2pix implementation in keras. The repository provides code to download the facades dataset, install requirements, and start training, and it references the original Image-to-Image Translation with Conditional Adversarial Networks paper.