Search Results for "research"
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Showing 3506 open source projects for "research"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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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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Marin
Framework for research and development of foundation models
...The framework is primarily used for large language models but has also supported audio-text, DNA, and protein modeling research. Experiments are expressed as dependent steps that execute in topological order, enabling reproducible training workflows. Marin also provides model checkpoints, training recipes, scaling research, documentation, and reusable infrastructure for large-scale experiments. -
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MobileHackersWeapons
Collection of cool tools used by Mobile hackers
...The repository is intended as a discovery reference for authorized mobile-security testing and research. -
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AI Berkshire
AI-era Berkshire: a value investing research framework
AI Berkshire is an AI-assisted value investing research framework designed for Claude Code and Codex workflows. It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Actions and Tags for Zotero
Customize your Zotero workflow
...Actions can be combined into repeatable workflows that reduce manual cataloging and cleanup. The plugin is installed as an XPI extension and is intended to make Zotero adapt to individual research habits. -
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lightning AI
The most intuitive, flexible, way for researchers to build models
...Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more. -
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HowToLiveBetter
Evidence-based living guidelines sorted by cost-effectiveness
...It covers health, longevity, emergency response, personal finance, legal risks, unemployment, entrepreneurship, relationships, parenting, travel, and skill development. Each recommendation explains what resources it costs and what outcome it is intended to improve. Evidence ratings are tied to journal research and official documents rather than general web commentary. The web interface lets readers search and filter recommendations by dimensions such as money, time, and required effort. The repository also includes longer essays, reference material, verification notes, and structured book chapters. It functions as both a static publication and a searchable decision-support reference. -
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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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WALA
Libraries for Analysis, with frontends for Java, Android, and JS
...The system is licensed under the Eclipse Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open-source license. The initial WALA infrastructure was independently developed as part of the DOMO research project at the IBM T.J. Watson Research Center. In 2006, IBM donated the software to the community. The WALA publications department is populating this wiki with technical documentation on a demand-driven basis, driven by questions posted to the wala-wala mailing list and also Gitter. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Synthea Patient Generator
Synthetic Patient Population Simulator
...Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data that is otherwise legally or practically unavailable. The models used to generate synthetic patients are informed by numerous academic publications. Our synthetic populations provide insight into the validity of this research and encourage future studies in population health. Synthetic data establishes a risk-free environment for Health IT development and experimentation. ... -
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The LLVM Compiler Infrastructure
Collection of modular and reusable compiler and toolchain technologies
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Despite its name, LLVM has little to do with traditional virtual machines. LLVM began as a research project at the University of Illinois, with the goal of providing a modern, SSA-based compilation strategy capable of supporting both static and dynamic compilation of arbitrary programming languages. Since then, LLVM has grown to be an umbrella project consisting of a number of subprojects, many of which are being used in production by a wide variety of commercial and open source projects as well as being widely used in academic research. ... -
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ipsw
iOS/macOS Research Swiss Army Knife
iOS/macOS Research Swiss Army Knife. ipsw was designed from the ground up to be easily installed and used to get you up and running quickly with an intuitive CLI. Simply the best tool to use when digging into Apple internals. Built-in a fast and memory-safe modern language with a huge community and mature standard lib. -
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Claude-Red
claude-red is a curated library of offensive security skills
Claude Red is a curated collection of offensive-security skill files for Claude's skill system. Each skill provides structured domain guidance for a specific area of authorized security testing or research. The library covers web applications, identity, Active Directory, wireless systems, cloud environments, mobile platforms, embedded devices, reconnaissance, exploit research, and fuzzing. Skills load on demand from conversational triggers instead of occupying context continuously. Users can install the complete collection or select individual categories. ... -
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WebHackersWeapons
A collection of cool tools used by Web hackers
...It also belongs to a wider family of curated security-tool collections maintained by the same author. The catalog is primarily intended for bug bounty, authorized testing, and defensive security research. -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. ... -
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Cyber Detective's OSINT tools collection
A collection of several hundred online tools for OSINT
Cyber Detective's OSINT Tools Collection is a large curated directory of online services and utilities for open-source intelligence research. The repository has grown to more than a thousand entries collected since 2021. Resources are organized into categories covering geolocation, transportation, social media, domains, IP addresses, links, images, email, usernames, search engines, archives, code, cryptocurrencies, and other investigative topics. Many entries include short explanations so researchers can understand what each service is intended to reveal or analyze. ... -
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Make It heavy
A Python framework that emulates Grok Heavy functionality
Make It heavy is a Python framework for producing deeper AI analysis through multi-agent orchestration. It is designed to emulate the style of Grok Heavy by splitting a user query into several specialized research angles. The system runs four agents in parallel so each one can explore the problem from a different perspective. It then combines their outputs into one unified answer through an intelligent synthesis step. The framework uses OpenRouter for model access and can also run in single-agent mode for simpler tasks. Overall, it is useful for users who want broader research coverage, richer reasoning diversity, and structured multi-agent responses from one command-line workflow. -
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Docker-OSX
Run macOS VM in a Docker! Run near native OSX-KVM in Docker
Run Mac OS X in Docker with near-native performance! X11 Forwarding. iMessage security research! iPhone USB working! macOS in a Docker container. -
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
...You can start Qiskit locally, which is much more secure and private, or you get started with Jupyter Notebooks hosted in IBM Quantum Lab. Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. Users can run and schedule jobs on real quantum processors, and employ Qiskit Runtime to orchestrate quantum programs on cloud-based CPUs, QPUs, and GPUs. -
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Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with variables, chained into pipelines, and applied to entire directories, which helps scale editorial or analytical tasks. ... -
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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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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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Fantomas
FSharp source code formatter
...We assume that the source files are parsable by F# compiler before feeding into the tool. Fantomas follows two F# style guides: the F# code formatting guidelines from Microsoft by default and the G-Research F# code formatting guidelines via various settings. -
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Triton
Development repository for the Triton language and compiler
...Triton enables users to write optimized kernels for machine learning workloads while maintaining readability and control over performance-critical aspects like memory access patterns and parallel execution. The project leverages LLVM and MLIR to compile code into efficient GPU instructions, supporting both NVIDIA and AMD hardware. It is widely used in research and production environments where custom tensor operations are required, offering both high performance and developer-friendly syntax. -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. ...
