Search Results for "physical"
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Showing 595 open source projects for "physical"
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PhysicalConstants.jl
Collection of fundamental physical constants with uncertainties
PhysicalConstants.jl provides common physical constants. They are defined as instances of the new Constant type, which is a subtype of AbstractQuantity (from Unitful.jl package) and can also be turned into Measurement objects (from Measurements.jl package) at request. Constants are grouped into different submodules so that the user can choose different datasets as needed. Currently, 2014 and 2018 editions of CODATA recommended values of the fundamental physical constants are provided. -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. -
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OpenFlow
Scalable, secure workflow solution
Collect, transport, store and report on events and data from humans, IT systems and the physical world. -
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NVIDIA Cosmos
NVIDIA Cosmos is an open platform of world models, datasets
...Cosmos 3 expands the platform with omnimodal world models that can work across language, image, video, audio, and action sequences. Its main value is helping developers create AI systems that reason about physical spaces, predict outcomes, and generate realistic world data for training and testing. -
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VOID
Video Object and Interaction Deletion
VOID is an advanced AI video processing system developed by Netflix that focuses on removing objects from videos while preserving the physical and visual realism of the surrounding environment. Unlike traditional inpainting methods that only erase pixels or simple artifacts, VOID models the full interaction dynamics between objects and their environment, including shadows, reflections, and even physical consequences such as movement or balance changes. Built on top of transformer-based architectures and fine-tuned for video inpainting tasks, the system uses interaction-aware mask conditioning to ensure temporal consistency across frames. ... -
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Tor Browser
Browser for using Tor on Windows, Mac OS X or Linux
...Tor is a software that bounces your communications around a distributed network of relays run by volunteers. This effectively prevents anyone watching your Internet connection from learning what sites you visit; it prevents the sites you visit from learning your physical location; and allows you access to sites which are blocked. Tor Browser can run off a USB flash drive, comes with a pre-configured web browser to protect your anonymity, and is self-contained (portable). -
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VirtualBox
Virtualization software for x86_64 hardware
VirtualBox is a powerful open-source full virtualization software that allows a user to run one or more “guest” operating systems simultaneously inside “virtual machines” on a single physical “host” machine. It supports a wide variety of host platforms (Linux, Windows, macOS, Solaris, etc.) and guest OSes, enabling, for example, running Linux on a Windows PC, running Windows Server on a Linux host, or even legacy OSes in a controlled environment. This flexibility makes VirtualBox ideal for developers, testers, sysadmins, or hobbyists who need different OS environments, want to test software across systems, or need isolation for development, sandboxing, or security experiments. ... -
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DynamicQuantities.jl
Lightweight + fast physical quantities in Julia
DynamicQuantities defines a simple statically-typed Quantity type for Julia. Physical dimensions are stored as a value, as opposed to a parametric type, as in Unitful.jl. This can greatly improve both runtime performance, by avoiding type instabilities, and startup time, as it avoids overspecializing methods. -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have an attached error to quantify the confidence about its accuracy. ... -
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FourierFlows.jl
Tools for building fast, hackable, pseudospectral equation solvers
This software provides tools for partial differential equations on periodic domains using Fourier-based pseudospectral methods. A central intent of the software's design is also to provide a framework for writing new, fast solvers for new physical problems. The code is written in Julia. -
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Spotube
Open source Spotify client that doesn't require Premium
An open source, cross-platform Spotify client compatible across multiple platforms utilizing Spotify's data API and YouTube, Piped video or JioSaavn as an audio source, eliminating the need for Spotify Premium. It is still recommended to support creators by engaging with their YouTube channels/Spotify tracks (or preferably by buying their merch/concert tickets/physical media). -
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ESP32 iPhone Agent
Let an AI model use a real iPhone with a $7 ESP32
ESP32 iPhone Agent is an open-source hardware and software project that enables AI models to interact with a physical iPhone using an inexpensive ESP32-S3 microcontroller. It combines AirPlay screen mirroring with USB Human Interface Device emulation to provide an AI agent with visual feedback and physical input capabilities. The ESP32-S3 receives the phone's screen stream and relays visual information to an iPhone application for AI analysis. -
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Pipework
Software-Defined Networking tools for LXC (LinuX Containers)
Pipework is an older software-defined networking utility for connecting Linux containers into custom network topologies. It works with both traditional LXC containers and early Docker environments by using Linux namespaces and cgroups. The tool can attach containers to bridges, physical interfaces, VLANs, Open vSwitch, InfiniBand, DHCP networks, and custom routes. It also supports configurable interface names, MAC addresses, gateways, and multiple interfaces per container. Pipework was created before Docker gained richer native networking capabilities and is now officially unmaintained. The maintainer recommends native container networking when possible, making Pipework mainly valuable for legacy systems and networking experiments. -
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Unitful.jl
Physical quantities with arbitrary units
Unitful is a Julia package for physical units. We want to support not only SI units but also any other unit system. We also want to minimize or in some cases eliminate the run-time penalty of units. There should be facilities for dimensional analysis. All of this should integrate easily with the usual mathematical operations and collections that are found in Julia base. -
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Humanoid-Gym
Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real
...Its primary goal is to enable efficient training of humanoid robots in simulation while enabling policies to transfer effectively to real-world hardware without additional training. The framework emphasizes the concept of zero-shot sim-to-real transfer, meaning that behaviors learned in simulation can be deployed directly on physical robots with minimal adjustment. To improve reliability and generalization, the framework also includes sim-to-sim validation pipelines that test trained policies across different physics engines. -
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DistroAV
DistroAV (formerly OBS-NDI): NDI integration for OBS Studio
...By implementing NDI input sources, dedicated output transports, and special filter modes, it allows creativity-oriented workflows such as capturing remote cameras, sharing scenes between machines, or distributing live feeds without capture cards or physical cabling. The plugin works with the NDI runtime and supports modern versions of OBS Studio across Windows, macOS, and Linux, enabling streamers and production setups to leverage low-latency, high-quality media over local networks for multi-device collaboration or extended setups. DistroAV’s development community focuses on maintaining compatibility with the latest OBS releases and NDI v6 tooling while addressing bugs and extending feature requests. -
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LingBot-Video
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
LingBot-Video is a large-scale mixture-of-experts video generation model focused on embodied intelligence. It is designed to connect video synthesis with physical-world understanding instead of generating only visually appealing clips. The project includes dense and MoE model variants for text-to-image, text-to-video, and text-image-to-video workflows. Its training combines large-scale web video data with more than 70,000 hours of embodied data. A multi-reward system emphasizes aesthetics, physical rationality, and task completion. ... -
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OSMO
The developer-first platform for scaling complex Physical AI workloads
OSMO is a developer-first orchestration platform designed to scale complex physical AI workflows across heterogeneous computing environments, including cloud GPUs, simulation clusters, and edge devices. It was originally built internally at NVIDIA to support robotics and embodied AI systems, where workflows span multiple stages such as data generation, training, simulation, and hardware testing. The platform addresses what NVIDIA refers to as the “three computer problem” by unifying these stages into a single pipeline defined through simple YAML configurations. ... -
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Create
Building Tools and Aesthetic Technology
...Players can design elaborate machines using components such as shafts, gears, belts, and mechanical devices that interact with each other to automate crafting, farming, and resource processing. Unlike many technology mods that rely heavily on graphical interfaces, Create emphasizes visible mechanical movement and physical machinery that operates directly in the game world. The mod also includes a visual documentation system called “Ponder” that demonstrates how each machine or component works through animated tutorials inside the game. -
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pglogical
Logical Replication extension for PostgreSQL
pglogical is an advanced logical replication extension for PostgreSQL that allows selective replication of data between databases. Unlike physical replication, it enables fine-grained control of which tables or changes to replicate. It’s well-suited for multi-master setups, version upgrades, and real-time data distribution across environments. -
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PySINDy
A package for the sparse identification of nonlinear dynamical systems
PySINDy is a Python library that implements the Sparse Identification of Nonlinear Dynamics (SINDy) method for discovering mathematical models of dynamical systems from data. The framework focuses on identifying governing equations that describe the behavior of complex physical systems by selecting sparse combinations of candidate functions. Instead of fitting a purely predictive machine learning model, PySINDy attempts to recover interpretable differential equations that explain how a system evolves over time. This approach is particularly valuable in scientific fields such as physics, engineering, and biology where researchers seek both predictive accuracy and theoretical insight. ... -
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NVIDIA PhysicsNeMo
Open-source deep-learning framework for building and training
NVIDIA PhysicsNeMo is an open-source deep learning framework designed for building artificial intelligence models that incorporate physical laws and scientific knowledge into machine learning workflows. The framework focuses on the emerging field of physics-informed machine learning, where neural networks are used alongside physical equations to model complex scientific systems. PhysicsNeMo provides modular Python components that allow developers to create scalable training and inference pipelines for models that combine data-driven learning with physics-based constraints. ... -
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AtomAI
Deep and Machine Learning for Microscopy
...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. Ultimately, it aims to combine the power and flexibility of the PyTorch deep learning framework and the simplicity and intuitive nature of packages such as scikit-learn, with a focus on scientific data. -
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Paperless-ngx
A community-supported supercharged version of paperless
Paperless-ngx is a community-supported open-source document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper. -
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Giada
Your Hardcore Loop Machine.
...Record sounds from the real world and MIDI events coming from external devices or other apps. Process samples or audio/MIDI input signals with VST instruments from your plug-ins collection. Control other software or synchronize physical MIDI devices by using Giada as a MIDI master sequencer.
