Search Results for ".lab"
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Showing 866 open source projects for ".lab"
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Lab
Get up and running with Jenkins on Google Kubernetes Engine
The Lab repository is a hands-on tutorial and reference implementation that demonstrates how to build a complete continuous delivery pipeline using Kubernetes and Jenkins on Google Cloud. It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. -
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Juggling Lab
Juggling Lab juggling animator
Juggling Lab is an open-source juggling simulation and animation software designed to visualize juggling patterns. It allows users to create, simulate, and analyze various juggling sequences, offering both 2D and 3D visualizations. Juggling Lab is highly customizable, supporting complex patterns and siteswap notation, making it a valuable tool for jugglers, performers, and enthusiasts looking to practice or study new routines. -
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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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Habitat-Lab
A modular high-level library to train embodied AI agents
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. -
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Harvey LAB
A benchmark built to evaluate and improve agent capabilities
Harvey LAB is an open-source benchmark for evaluating how effectively AI agents perform realistic legal work. It combines a dataset of legal assignments with an execution harness that runs agents against those tasks. Each benchmark task includes instructions, working documents, and rubrics that define successful completion. The environment is designed to test practical legal workflows rather than isolated question-answering ability. -
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Growth Lab
An end-to-end growth tool that understands the product
Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. -
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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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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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. -
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Advanced Solutions Lab
This repos contains notebooks for the Advanced Solutions Lab
This repository contains Jupyter notebooks meant to be run on Vertex AI. This is maintained by Google Cloud’s Advanced Solutions Lab (ASL) team. Vertex AI is the next-generation AI Platform on the Google Cloud Platform. The material covered in this repo will take a software engineer with no exposure to machine learning to an advanced level. -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. ... -
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GOAD (Game of Active Directory)
game of active directory
GOAD (Gather Open Attack Data) is a security reconnaissance framework for collecting, enriching, and visualizing open-source intelligence (OSINT) around hosts, domains, and certificates. It automates queries to certificate transparency logs, passive DNS, subdomain enumeration, web endpoints, and other public threat feeds. The tool aggregates results into structured formats and can produce interactive graphs to highlight relationships between entities (e.g. domain → IP → cert → ASN). Analysts... -
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OrcaSlicer BambuLab
Build of OrcaSlicer focused on restoring full BambuNetwork support
OrcaSlicer BambuLab is a modified build of OrcaSlicer focused on restoring full BambuNetwork support for Bambu Lab printers. It removes the limitation of LAN-only usage and allows normal printing workflows to work over the internet through BambuNetwork. The repository contains a large slicer codebase with C++, C, JavaScript, HTML, CMake, and shell components. It is aimed at users who want the OrcaSlicer experience while keeping remote Bambu Lab printer connectivity available. ... -
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PSLab Android App
PSLab Android App
...PSLab is a tiny pocket science lab that provides an array of equipment for doing science and engineering experiments. -
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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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Radegast
Lightweight client for connecting to Second Life and OpenSim
Radegast is a virtual world client compatible with Second Life and OpenSimulator. Its main purpose is to provide an alternative client to Linden Lab-derived virtual world viewers. There is a strong focus on accessibility and non-3D interaction. Given the current nature of changes in Second Life, I felt it was prudent to take on another abandoned text-focused viewer. Introducing MEGAbolt, a fork of the METAbolt viewer which was abandoned by its author almost eight years ago. Keep in mind, this is the first version and much has changed under the hood. ... -
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Eagleye
Precise localization based on GNSS and IMU
...The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University. -
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Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
Mobile Verification Toolkit (MVT) is a collection of utilities to simplify and automate the process of gathering forensic traces helpful to identify a potential compromise of Android and iOS devices. It has been developed and released by the Amnesty International Security Lab in July 2021 in the context of the Pegasus project along with a technical forensic methodology and forensic evidence. MVT is a forensic research tool intended for technologists and investigators. Using it requires understanding the basics of forensic analysis and using command-line tools. This is not intended for end-user self-assessment. ... -
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Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment
...The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. Labs are written as short, reproducible exercises (imperative and declarative examples) designed for people who already know containers and want concrete, runnable Kubernetes practice. -
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ContainerSSH
ContainerSSH: Launch containers on demand
An SSH Server that Launches Containers in Kubernetes and Docker. Building a lab environment can be time-consuming. ContainerSSH solves this by providing dynamic SSH access with APIs, automatic cleanup on logout using ephemeral containers, and persistent volumes for storing data. Perfect for vendor and student labs. Provide production access to your developers, give them their usual tools while logging all changes. -
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Bambu Studio
PC Software for BambuLab and other 3D printers
...It is built on PrusaSlicer and Slic3r foundations while adding Bambu Lab’s own interface, optimized slicing behavior, and printer-focused tools. The software is especially suited for Bambu Lab printers, but its open-source base also makes it relevant to the broader 3D printing community. It helps users prepare models, manage projects, adjust slicing settings, preview toolpaths, and send print-ready files to compatible machines. Bambu Studio emphasizes ease of use without removing advanced controls needed for more complex prints. ... -
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AutoKeras
AutoML library for deep learning
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface.
