Search Results for "research"
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Showing 360 open source projects for "research"
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Awesome Fraud Detection Research Papers
A curated list of data mining papers about fraud detection
A curated list of data mining papers about fraud detection from several conferences. -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. ... -
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RedSun
The Red Sun vulnerability repository
...By carefully manipulating this process, the exploit enables attackers to overwrite protected system files and gain SYSTEM-level privileges from a low-privilege account. The repository provides a minimal C++ implementation that showcases this behavior for research and educational purposes. It highlights flaws in endpoint protection logic and emphasizes how race conditions and file system interactions can be abused. The project is not designed as a full framework but as a focused demonstration of a real-world vulnerability. It serves as a stark example of how defensive systems can be turned into attack vectors. -
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nature-skills
Skill that conforms to the academic expression and scientific research
nature-skills is an open-source collection of AI agent skills and structured workflows designed to enhance autonomous reasoning and tool usage in AI assistants. The project organizes reusable “skills” that agents can invoke for different operational contexts, helping AI systems perform specialized tasks more consistently and effectively. It appears to focus on modularity and interoperability, allowing skills to be combined, extended, or integrated into broader agent ecosystems. The... -
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5
Copy Fail - CVE-2026-31431
epository that demonstrates and analyzes a Linux kernel vulnerability
...The repository includes tested configurations across multiple Linux distributions and kernel versions. It emphasizes reproducibility and technical clarity in demonstrating the issue. The project serves as both a research tool and an educational resource for vulnerability analysis. Overall, it contributes to the study of system-level security flaws and mitigation strategies. -
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Deep Learning Essay Reading
Read classic and new deep learning papers paragraph by paragraph
Deep Learning Essay Reading repository is a comprehensive collection of machine learning and deep learning research summaries designed to make cutting-edge academic work more accessible. Instead of reading entire dense academic papers, contributors provide structured breakdowns and insights into the most influential research from the past decade, often including explanation highlights and key takeaways. The content spans foundational models, architectures, and training methodologies across computer vision, natural language processing, generative models, and other machine learning domains. ... -
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PaperSpine
Motivation-driven skill for learning from strong academic papers
...It emphasizes the central motivation of a paper, helping writers connect claims, structure, evidence, citations, and revisions into a coherent argument. The suite includes specialized skills for research, citation, rewriting, LaTeX, auditing, translation, humanization, and updates. It is best suited for users who need format-aware, evidence-aware academic writing support rather than generic text generation. -
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fvcore
Collection of common code shared among different research projects
...It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. The file I/O layer (PathManager) abstracts local/remote storage so the same code can read from disks, cloud buckets, or HTTP endpoints. Because it is small, stable, and well-tested, fvcore is frequently imported by projects like Detectron2 and PyTorchVideo to avoid duplicating infrastructure and to keep research repos. -
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Must Reading on ISAC
Must Reading Papers, Research Library, Open-Source Code
...Supported by IEEE ComSoc ISAC Emerging Technology Initiative (ETI). Integrating Sensing and Communications for Ubiquitous IoT. Include reproducible codes, good papers and a research libary. -
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Open3D
A modern library for 3D data processing
...It can be set up on different platforms and compiled from source with minimal effort. The code is clean, consistently styled, and maintained via a clear code review mechanism. Open3D has been used in a number of published research projects and is actively deployed in the cloud. We welcome contributions from the open-source community. GCC 5.X and later on Linux. XCode 10+ and later on OS X 10.14+. Visual Studio 2019 and later on Windows. -
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PM Skills Marketplace
100+ agentic skills, commands, and plugins
PM Skills Marketplace is a repository designed to provide structured knowledge and guidance for product management skills, combining practical frameworks, templates, and conceptual explanations. It aims to help both aspiring and experienced product managers develop competencies across areas such as strategy, user research, prioritization, and execution. The project organizes information in a way that makes it easy to navigate different skill domains, offering actionable insights rather than purely theoretical descriptions. It emphasizes real-world application, helping users understand how to approach common product challenges and decision-making processes. ... -
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MuJoCo Playground
An open source library for GPU-accelerated robot learning
MuJoCo Playground, developed by Google DeepMind, is a GPU-accelerated suite of simulation environments for robot learning and sim-to-real research, built on top of MuJoCo MJX. It unifies a range of control, locomotion, and manipulation tasks into a consistent and scalable framework optimized for JAX and Warp backends. The project includes classic control benchmarks from dm_control, advanced quadruped and bipedal locomotion systems, and dexterous as well as non-prehensile manipulation setups. ... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained inspection and modification after training. Its modular design includes tools for tree manipulation, named axes, and declarative neural network construction. ... -
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Hacker Laws
Laws, theories, principles and patterns useful to developers
Laws, Theories, Principles and Patterns that developers will find useful. There are lots of laws which people discuss when talking about development. This repository is a reference and overview of some of the most common ones. Principles and laws to follow such as: If a program is made up of two parts, part A, which must be executed by a single processor, and part B, which can be parallelised, then we see that adding multiple processors to the system executing the program can only have a... -
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DeltaForce-OBS-Locker
Delta Action OBS Lock Plugin
DeltaForce-OBS-Locker is a research-oriented repository around OBS-based computer vision experiments for the game Delta Force. The project includes desktop and mobile components and discusses image recognition, rendering capture, simulated input, and real-time detection ideas. Its README states that a YOLOv14-based real-time object detection framework was integrated into the desktop side for visual recognition experiments. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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GPTs
Leaked prompts of GPTs
...Because the project involves prompts described as leaked or contributed from multiple sources, users should approach it carefully and avoid reusing anything that may be private, proprietary, or unauthorized. Its main value is as a research reference for understanding prompt design patterns in real assistant configurations. -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
VGGT-Omega is a Facebook Research computer vision project for feed-forward camera and depth reconstruction. It takes images as input and predicts camera parameters, depth maps, confidence values, and related scene tokens. The project is associated with 3D understanding workflows where models infer scene geometry without a traditional multi-stage reconstruction pipeline. -
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Tunix
A JAX-native LLM Post-Training Library
...Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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Tailslayer
Library for reducing tail latency in RAM reads
...The tool helps investigators identify residual data such as logs, configurations, or usage traces that may persist despite Tails’ security features. It is particularly relevant for digital forensics and research into privacy systems. Tailslayer emphasizes practical analysis techniques rather than theoretical exploration. Its design reflects the need to balance privacy with investigative capabilities. Overall, it provides insight into how secure systems behave under forensic scrutiny. -
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LangExtract
A Python library for extracting structured information
LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. ... -
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Microsoft SEAL
Easy-to-use and powerful homomorphic encryption library
Microsoft SEAL is an open-source homomorphic encryption library that allows computations to be performed directly on encrypted data, with no need for any decryption. Developed by the Cryptography and Privacy Research group at Microsoft, it enables software engineers to build end-to-end encrypted data storage and computation services that never have to procure the customer's key. Microsoft SEAL is very easy to use, compile and run in many different environments. Homomorphic encryption is an encryption scheme that allows the cloud to compute directly on the encrypted data, without requiring the data to be decrypted first. ... -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. ... -
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cuda-oxide
cuda-oxide is an experimental Rust-to-CUDA compiler
...It supports a single-source programming style where host and device code can live together and be built through Cargo-oriented tooling. cuda-oxide is still experimental, so it is best suited for research, early exploration, and developers interested in Rust-based GPU programming. Its main value is giving Rust developers a more direct path into NVIDIA GPU kernels while preserving familiar Rust syntax and tooling concepts. -
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How-To-Ask-Questions-The-Smart-Way
Correctly propose technical questions and get the answers you want
...It focuses on improving the quality of questions by emphasizing clarity, context, and effort before asking for assistance. The document explains common mistakes, such as vague descriptions or lack of research, and provides strategies for formulating precise and useful questions. It also highlights the importance of respecting the time and expertise of others, encouraging a culture of constructive collaboration. The guide is particularly valuable for beginners who are learning how to interact in open-source communities and forums. By improving communication, it increases the likelihood of receiving helpful and accurate responses. ...
