Search Results for ".lab" - Page 3
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Showing 533 open source projects for ".lab"
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AtomAI
Deep and Machine Learning for Microscopy
AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless deployment of machine learning algorithms including deep convolutional neural networks, invariant variational autoencoders, and decomposition/unmixing techniques for image and hyperspectral data analysis. ... -
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Privilege-Escalation
This cheasheet is aimed at the CTF Players and Beginners
...Topics include sudo permissions, SUID binaries, kernel weaknesses, scheduled jobs, Linux capabilities, writable files, containers, databases, and network services. Individual guides connect these concepts to vulnerable lab machines and CTF examples. This structure helps learners recognize recurring misconfigurations and understand why they create security risk. The collection is primarily focused on Linux-oriented privilege escalation and educational security practice. -
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Orion
A machine learning library for detecting anomalies in signals
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing,... -
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
...It supports all Windows operating systems from 2008 R2 to 2019, some Linux distributions and various products like AD, Exchange, PKI, IIS, etc. AutomatedLab (AL) enables you to setup test and lab environments on Hyper-v or Azure with multiple products or just a single VM in a very short time. There are only two requirements you need to make sure: You need the DVD ISO images and a Hyper-V host or an Azure subscription. Requires Windows Management Framework 5+ (Windows). Requires Intel VT-x or AMD/V capable CPU, a decent amount of RAM, and low-latency high-throughput storage (No spinning disks please, as there are issues related to them). ... -
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Sygil WebUI
Stable Diffusion web UI
...The UI exposes core generation controls like resolution, CFG guidance, sampling steps, samplers, seeds, and batch generation so users can reproduce results and refine outputs systematically. It also supports jumping between workflows, such as sending an output directly into Image2Image for variations or into an “Image Lab” style area for enhancement and upscaling. Post-processing and enhancement are a major emphasis: the interface can route images through different upscalers and face-enhancement tools, helping users turn raw generations into cleaner, higher-resolution results. -
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Tongyi DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
DeepResearch (Tongyi DeepResearch) is an open-source “deep research agent” developed by Alibaba’s Tongyi Lab designed for long-horizon, information-seeking tasks. It’s built to act like a research agent: synthesizing, reasoning, retrieving information via the web and documents, and backing its outputs with evidence. The model is about 30.5 billion parameters in size, though at any given token only ~3.3B parameters are active. It uses a mix of synthetic data generation, fine-tuning and reinforcement learning; supports benchmarks like web search, document understanding, question answering, “agentic” tasks; provides inference tools, evaluation scripts, and “web agent” style interfaces. ... -
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ProtoMotions
ProtoMotions is a GPU-accelerated simulation and learning framework
...Large motion datasets such as AMASS and BONES can be divided across multiple GPUs for scalable policy training. A built-in PyRoki workflow retargets human motion data to different robot bodies with a single command. Policies can be tested across Isaac Gym, Isaac Lab, Newton, Genesis, MuJoCo, and high-fidelity Isaac Sim environments. Its deployment pipeline exports ONNX policies with observation processing included, simplifying transfers from simulation to real Unitree G1 hardware. The framework also supports procedural scene generation and motion authoring from Kimodo text-to-motion outputs. -
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A.I.G (AI-Infra-Guard)
Full-stack AI Red Teaming platform
AI-Infra-Guard is a powerful open-source security platform from Tencent’s Zhuque Lab designed to assess the safety and resilience of AI infrastructures, codebases, and components through automated scanning and evaluation tools. It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. -
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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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Basic Pitch
A lightweight audio-to-MIDI converter with pitch bend detection
Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify's Audio Intelligence Lab. It's small, easy-to-use, pip install-able and npm install-able via its sibling repo. Basic Pitch may be simple, but it's is far from "basic"! basic-pitch is efficient and easy to use, and its multi pitch support, its ability to generalize across instruments, and its note accuracy compete with much larger and more resource-hungry AMT systems. ... -
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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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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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PICSimLab - Prog. IC Simulator Lab.
PICSimLab is a realtime emulator for PIC, Arduino, STM32, ESP32, ...
PICSimLab is a realtime emulator of development boards with MPLABX/avr-gdb debugger integration. PICSimLab supports microcontrollers from picsim, simavr, uCsim, qemu-stm32, qemu-esp32, and gpsim. PICSimLab has integration with MPLABX/Arduino IDE for programming the microcontroller's boards. As the purpose of PICSimLab is to emulate real hardware it does not have any source code editing support. For code editing and debugging the same tools used for a real board should be used with PICSimLab,... -
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GELab-Zero
GUI Exploration Lab. One of the best GUI agent solutions
GELab-Zero is an open-source “GUI Agent” framework aiming to automate interactions with graphical user interfaces (GUIs), combining both the agent model and all supporting infrastructure — including inference, input orchestration, and GUI automation logic — in a plug-and-play package that runs locally, without cloud dependencies. The idea is to let developers or users harness an AI agent that can simulate clicking, typing, reading UI elements, and interacting with apps in a human-like way... -
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SuriZuh Detection Lab
Suricata & Wazuh: Network and Host IDS Lab
SuriZuh is a ready-to-use cybersecurity lab VMware VM for students. It includes Suricata for network IDS, Wazuh for host monitoring, EveBox for Suricata alert viewing, DVWA for attack practice, phpMyAdmin, and a basic Suricata Manager web interface. V1.1 SHA256: CFE0B7E972FD72C45D9DE274FE318FC9B97C60D958C029FE42F413ADBF3DAE80 V1.0 SHA256: 98DAE8B07DDB931547EDCC5D933E7CE0BF98C80B97E371BC16EB22F97B6E838A Full guide and documentation: https://github.com/kaledaljebur/SuriZuh -
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This is a tool of generating synthetic images for varying camera positions. In the Graphical user interface, the button "Confirm", positions the cameras according to the setting and updates the path variables. "Render" renders the images and saves them in the directory under the given "save_path". For a quick start, just click "Confirm" and then "Render". For questions, you can always reach out to me under "paul.friedrich.richter@tum.de"
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ICS Sensor Sim Lab
ICS Sensor Traffic Simulator
This tool simulates network traffic typical of an Industrial Control System (ICS) environment. It generates synthetic Modbus/TCP packets to help test monitoring and intrusion detection systems. Quick Start To use this tool, run the simulator: bash # Run for 30 seconds and save to traffic.log python lab_runner.py ics-sim --duration 30 --output traffic.log -
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Suricata Anti-DDoS Lab
Suricata VMware VM dor IDS practicing
Suricata Anti-DDoS Security Lab (Debian 13 VMware Virtual Machine): Preconfigured VMware virtual machine for educational network security monitoring and intrusion detection using Suricata. Designed for hands-on IDS and SOC-style training in a controlled lab environment. Includes the following integrated services: + Suricata – network intrusion detection and traffic inspection + EveBox – alert visualisation and event analysis + DVWA – vulnerable web application for traffic generation and testing + phpMyAdmin – database management and inspection Default setup demonstrates DDoS-related detection scenarios, but the lab is fully customisable for other network-based attacks. ... -
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Dwarf.Net.git
.Net lab
Небольшой набор утилит написанных на .Net Valet - выполнение пакета заранее подготовленных задач -
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Ricks-Lab GPU Utilities
A set of utilities for monitoring and customizing GPU performance
A set of utilities for monitoring GPU performance and modifying control settings. In order to get the maximum capability of these utilities, you should be running with a kernel that provides support for the GPUs you have installed. If using AMD GPUs, installing the latest AMD GPU driver or ROCm package may provide additional capabilities. If you have Nvidia GPUs installed, you should have Nvidia-smi installed in order for the utility reading of the cards to be possible. Writing to GPUs is... -
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VPLE (Linux) Vulnerable Pentesting Lab Environment VPLE is an Intentionally Vulnerable Linux Virtual Machine. This VM can be used to conduct security training, test security tools, and practice common penetration testing Labs. In VPLE bunch of labs are Available. NOTE:- "Only run in VMWare Pls Don’t run in VirtualBox" Will also run on the ProxMox server to understand how to do it pls refer to the doc in the zip named "Cybersecurity Lab Deployment on Proxmox" The default login and password is administrator: password. ...
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Arata's Lab
Just crazy people
