Search Results for ".lab"
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109 projects for ".lab" with 1 filter applied:
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Fully managed relational database service for MySQL, PostgreSQL, and SQL ServerCloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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End-To-End Document Management SoftwareUnForm® is a platform-independent software product that creates, delivers, stores and retrieves graphically enhanced documents from ERP application printing. A complete, end-to-end document management solution, UnForm interfaces at the point of printing to produce documents in various formats for printing and electronic delivery.
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SLM Lab
Modular Deep Reinforcement Learning framework in PyTorch
SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently. -
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Bubble Lab
Open source workflow automation platform built for developers
Bubble Lab is an open-source workflow automation platform written with TypeScript that lets developers build, run, and control complex workflow logic as native, typed code rather than trapping users inside proprietary visual nodes or opaque formats. It provides a visual “bubble” editor paired with real TypeScript generation so workflows are human-readable, shareable, debuggable, and production-ready, giving teams the flexibility to treat automations like real software artifacts you can version and integrate into CI/CD pipelines. ... -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. ... -
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AI App Lab
Implementing large models into scenario-based applications
AI App Lab is an open-source platform developed by Volcengine that provides tools, SDKs, and example applications for building real-world AI applications powered by large language models. The project focuses on helping developers bridge the gap between AI models and practical business use cases by offering a structured environment for creating production-ready AI systems. -
Eurekos LMS - Build a Smarter CustomerEurekos is a purpose-built LMS that engages customers throughout the entire learning journey from pre-sales, to onboarding, and everything after.
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eLabFTW
Open source electronic lab notebook for research labs
...Designed for scientific environments, the software provides a secure, browser-accessible platform where users can log protocols, results, and observations in structured records that replace traditional paper notebooks. Beyond simple experiment journaling, eLabFTW includes an inventory database for tracking lab materials, reagents, and equipment, making it a versatile tool for laboratory management. It also supports collaboration across teams, enabling multiple users to access shared records and streamline project workflows. The software features advanced search, tagging, timestamping, and export tools, which are essential for reproducibility and long-term project tracking. -
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ManiSkill
SAPIEN Manipulation Skill Framework
ManiSkill is a benchmark platform for training and evaluating reinforcement learning agents on dexterous manipulation tasks using physics-based simulations. Developed by Hao Su Lab, it focuses on robotic manipulation with diverse, high-quality 3D tasks designed to challenge perception, control, and planning in robotics. ManiSkill provides both low-level control and visual observation spaces for realistic learning scenarios. -
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BadUSB
Flipper Zero badusb payload library
...The codebase is frequently intended for security research and defensive testing: defenders and red teams use it to validate endpoint controls, USB whitelisting, and user training. Due to the dual-use nature of such techniques, responsible repositories emphasize lab-only experiments, consent-based testing, and mitigations like disabling autorun, enforcing device policies, and using endpoint detection. -
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Zvec
A lightweight, lightning-fast, in-process vector database
Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. ... -
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FISSURE
The RF and reverse engineering framework for everyone
...The platform supports workflows related to signal discovery, demodulation, packet inspection, fuzzing, and attack simulation, making it useful for both defensive research and controlled lab testing. Its architecture is oriented toward extensibility, so users can integrate additional hardware, signal-processing components, and protocol-specific modules depending on their needs. -
Awardco Employee RecognitionEverything you love about Amazon is now available for rewards and recognition. Awardco has partnered with Amazon Business to bring millions of reward choices, lower vendor fees and dollar-for-dollar recognition spend to your organization. More choice, more capability, and less spend - all in one simple platform.
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Machine Learning Systems
Introduction to Machine Learning Systems
Machine Learning Systems is an open educational repository that serves as the source and learning stack for the Machine Learning Systems textbook, a project focused on teaching how to engineer AI systems that work reliably in real-world environments. Rather than concentrating only on model training, the material emphasizes the broader discipline of AI engineering, covering efficiency, reliability, deployment, and evaluation across the full lifecycle of intelligent systems. The repository... -
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VibeThinker
Diversity-driven optimization and large-model reasoning ability
VibeThinker is a compact but high-capability open-source language model released by WeiboAI (Sina AI Lab). It contains about 1.5 billion parameters, far smaller than many “frontier” models, yet it is explicitly optimized for reasoning, mathematics, and code generation tasks rather than general open-domain chat. The innovation lies in its training methodology: the team uses what they call the Spectrum-to-Signal Principle (SSP), where a first stage emphasizes diversity of reasoning paths (the “spectrum” phase) and a second stage uses reinforcement techniques (the “signal” phase) to refine toward correctness and strong reasoning. ... -
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OpenHealth
AI health assistant for private, local data-driven insights mgmt
OpenHealth is an AI-powered health assistant designed to help individuals take control of their personal health data and better understand their overall well-being. It works by aggregating various types of health information, such as clinical records, wearable device data, and self-reported inputs, into a unified and structured format. OpenHealth then uses large language models to enable contextual conversations, allowing users to interact with their own health data in a more intuitive and... -
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kg-gen
Knowledge Graph Generation from Any Text
kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing higher-quality graph structures from raw text. ... -
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Project MINI RACK
Miniature rack builds, for portable or compact Homelabs
Project MINI RACK is a project dedicated to designing, documenting, and showcasing compact, portable rack-mount or small-form factor “mini” labs, suitable for home labs, edge deployments, or mobile network stacks. The repository contains build guides, hardware lists, layout ideas (10” wide racks, 1U/2U modules, custom shelves), 3D printable components, and real-world examples of mini homelab rigs. Its goal is to help hobbyists, devops engineers, or tinkerers understand how to build... -
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aws-devops-zero-to-hero
AWS zero to hero repo for devops engineers to learn AWS in 30 Days
...The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs, setting up CI/CD pipelines, or configuring CloudWatch monitoring. Later in the curriculum, you move into topics like CloudFormation, CodeCommit/CodePipeline/CodeBuild/CodeDeploy, Terraform on AWS, CloudTrail and Config for compliance, Elastic Load Balancing, and cloud migration strategies. ... -
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Pattern Lab Node
The Node version of Pattern Lab
This monorepo contains the core of Pattern Lab / Node and all related engines, UI kits, plugins, and utilities. Pattern Lab helps you and your team build thoughtful, pattern-driven user interfaces using atomic design principles. -
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GNU Health
GNU Health - The Free/Libre Hospital and Health Information System
GNU Health is the award-winning Hospital and Health Information System (HIS), declared a Digital Public Good and adopted by the United Nations . GNU Health Hospital and Lab information system is used by academic and research institutions around the globe. It is also used in public health system of countries such as Argentina, India, Jamaica, Laos, Cameroon, Suriname. GNU Health is an official GNU project. GNU Health is brought to you by GNU Solidario, an Non-Profit Organization (NGO) that focuses in Social Medicine. -
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[OFFICIAL] tinyfiledialogs C C++ v3.21.3
inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal
one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix... -
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PlateEditor
PlateEditor, a free web application to work with multi-well plates
... - PlateEditor is available at this address: https://plateeditor.sourceforge.io - The source code is also available on GitHub, visit: https://github.com/vindelorme/PlateEditor More information about the source code and the API are available there (the wiki is still under construction, thanks for your patience!) For a list of recent updates, visit: https://sourceforge.net/p/plateeditor/wiki/Updates/ Hoping PlateEditor will make your life easier in the lab! If yes, please cite us: https://doi.org/10.1371/journal.pone.0252488 -
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GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
GLM-130B is an open bilingual (English and Chinese) dense language model with 130 billion parameters, released by the Tsinghua KEG Lab and collaborators as part of the General Language Model (GLM) series. It is designed for large-scale inference and supports both left-to-right generation and blank filling, making it versatile across NLP tasks. Trained on over 400 billion tokens (200B English, 200B Chinese), it achieves performance surpassing GPT-3 175B, OPT-175B, and BLOOM-176B on multiple benchmarks, while also showing significant improvements on Chinese datasets compared to other large models. ... -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
...Many entries include short usage notes, common command examples, and links to upstream projects or writeups, turning the repo into both a toolbox and a practical learning library. The collection emphasizes tooling that is easy to run in lab environments and often points to small scripts and one-file utilities that accelerate common tasks like service discovery, credential harvesting, or privilege checks. -
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DeepMind Research
Implementations and code to accompany DeepMind publications
...Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. The codebase is primarily Jupyter Notebooks and Python, reflecting an emphasis on experimentation and pedagogy rather than production packaging. -
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Robotics Lab
Open Source from the Robotics Lab research group @ UC3M
Welcome to the open branch of the Robotics Lab research group @ Universidad Carlos III de Madrid (UC3M). We currently host 3 main projects here: * ASIBOT open source software, which includes basic simulation, control and vision: http://roboticslab.sourceforge.net/asibot * Datasets we use for machine learning: https://sourceforge.net/projects/roboticslab/files/Datasets * Nicolas Burrus' RGBDemo stuff. -
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CSAPP-Labs
Solutions and Notes for Labs of Computer Systems
...Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. By actually building and debugging code that runs close to hardware, learners acquire intuition about performance trade-offs, bit-level manipulation, stack frame layout, and how compilers and OS features influence execution. -
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MVVM
Analyze the principle of vue implementation and implement mvvm
...Because it mirrors ideas found in larger frameworks, it’s an excellent teaching aid for developers who want to understand why features like computed properties and watchers behave as they do. It is not intended as a production framework; instead, it’s a compact lab for learning the principles behind MVVM and modern reactive libraries.
