Search Results for "virtual windows machine"
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Showing 69 open source projects for "virtual windows machine"
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Crosvm
The Chrome OS Virtual Machine Monitor
crosvm (ChromeOS Virtual Machine Monitor) is a secure, lightweight virtual machine monitor built on top of the Linux KVM hypervisor. Developed for ChromeOS, it is designed to isolate and execute Linux and Android guests efficiently while maintaining strong security boundaries. Unlike general-purpose emulators like QEMU, crosvm avoids full hardware emulation and focuses on modern paravirtualized I/O using the virtio standard, reducing complexity and attack surface. ... -
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Aglais XQVM
A rust implementation of the Quip Network's quantum virtual machine
...It integrates with the broader Quip ecosystem, allowing it to function as part of a larger protocol stack that includes blockchain infrastructure and node management tools. The virtual machine abstraction enables developers to define and execute computational logic in a controlled environment, potentially bridging classical and quantum paradigms. Its design suggests use cases in advanced computation, cryptography, or experimental distributed systems. -
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Kata Containers
Build a standard implementation of lightweight Virtual Machines (VMs)
Kata Containers is an open source container runtime, building lightweight virtual machines that seamlessly plug into the container ecosystem. Kata Containers is an open source community working to build a secure container runtime with lightweight virtual machines that feel and perform like containers, but provide stronger workload isolation using hardware virtualization technology as a second layer of defense. Since launching in December 2017, the community successfully merged the best parts... -
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Gleam
A friendly language for building type-safe, scalable systems!
...It also serves as a productive refactoring tool, enabling programmers to confidently make large changes to unfamiliar code, quickly and with low risk. For problems, the type system can't solve (such as your server being hit by a bolt of lightning) the Erlang virtual machine provides well-tested mechanisms for gracefully handling failure. Hunting down bugs can be stressful so Gleam's compiler provides clear and helpful feedback about any problems. We want to spend more time developing features and less time looking for bugs or deciphering cryptic error messages. Gleam builds on top of the Erlang virtual machine, a best-in-class runtime that has enabled companies such as Discord, Ericsson, Heroku, and WhatsApp to provide low-latency services at a global scale. ... -
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5
v86
x86 PC emulator and x86-to-wasm JIT, running in the browser
...Designed for both experimentation and embedding, v86 can be integrated into web apps or used as a standalone virtual machine environment. Overall, it provides a powerful way to explore operating systems, retro computing, and low-level system behavior directly from a web browser. -
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Spice.ai OSS
A self-hostable CDN for databases
Spice is a portable runtime offering developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. Spice connects, fuses, and delivers data to applications, machine-learning models, and AI backends, functioning as an application-specific, tier-optimized Database CDN. The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB.... -
7
conflux-rust
The official Rust implementation of Conflux protocol
...Conflux introduces a Tree-Graph consensus mechanism that allows parallel block processing while maintaining consensus integrity. This implementation focuses on performance and is compatible with the Ethereum Virtual Machine (EVM), enabling developers to deploy smart contracts written for Ethereum. It provides a robust foundation for dApps, DeFi, and Web3 applications in regions requiring regulatory compliance and scalability. -
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ALVR - Air Light VR
Stream VR games from your PC to your headset via Wi-Fi
...It also includes customizable settings for bitrate, resolution, and performance tuning, allowing users to balance quality and responsiveness. The project is actively developed and supports multiple platforms, including Windows and Linux. -
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Tabby
Self-hosted AI coding assistant
Tabby is an open-source, self-hosted AI coding assistant that provides code completion and suggestions within your preferred development environment. It enhances developer productivity by leveraging machine learning models to predict and generate code snippets. -
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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Burn
Burn is a new comprehensive dynamic Deep Learning Framework
Burn is a new comprehensive dynamic Deep Learning Framework from Tracel AI built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Burn emphasizes performance, flexibility, and portability for both training and inference. Developed in Rust, it is designed to empower machine learning engineers and researchers across industry and academia. -
11
komorebi
A tiling window manager for Windows
komorebi is a tiling window manager that works as an extension to Microsoft's Desktop Window Manager in Windows 10 and above. komorebi allows you to control application windows, virtual workspaces and display monitors with a CLI which can be used with third-party software such as AutoHotKey to set user-defined keyboard shortcuts. komorebi aims to make as few modifications as possible to the operating system and desktop environment by default. -
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Daft
Distributed DataFrame for Python designed for the cloud
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run... -
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Rye
A Hassle-Free Python Experience
Rye is a modern Python project and package management tool designed to provide a seamless development experience. It integrates Python installation, virtual environment management, and dependency handling into a single cohesive workflow. Rye's emphasis on simplicity and automation makes it particularly suitable for managing complex projects and monorepos, reducing the overhead typically associated with Python project setup and maintenance. -
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Solang
Solidity Compiler for Solana, Polkadot and Stellar
Solang is a modern Solidity compiler written in Rust that enables developers to compile smart contracts for multiple blockchain platforms beyond Ethereum, such as Solana, Polkadot, and Soroban. Unlike the traditional Solidity compiler, which targets the Ethereum Virtual Machine, Solang focuses on portability by translating Solidity code into native execution environments for different blockchains. It uses the LLVM compiler framework to generate optimized output, often producing WebAssembly or platform-specific binaries that improve execution efficiency and reduce resource consumption. The project maintains compatibility with Solidity 0.8 syntax while adapting to the unique constraints and capabilities of each target blockchain. ... -
15
Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
16
Dominator
Zero-cost ultra-high-performance declarative DOM library using FRP
Dominator is a high-performance declarative DOM library for Rust that focuses on building web applications with minimal overhead by directly manipulating real DOM nodes instead of relying on a virtual DOM. It uses a functional reactive programming model based on signals, allowing UI components to automatically update in response to state changes in an efficient and predictable manner. The library is designed to be “zero-cost,” meaning that abstractions compile down to highly optimized code... -
17
RustScan
The Modern Port Scanner
The Modern Port Scanner. Find ports quickly (3 seconds at its fastest). Run scripts through our scripting engine (Python, Lua, Shell supported). Scans all 65k ports in 3 seconds. Full scripting engine support. Automatically pipe results into Nmap, or use our scripts (or write your own) to do whatever you want. Adaptive learning. RustScan improves the more you use it. No bloated machine learning here, just basic maths. The usuals you would expect. IPv6, CIDR, file input and more.... -
18
Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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Meetily
Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper
This project is a privacy-first AI meeting assistant that captures meeting audio, produces real-time transcripts, and generates summaries while keeping processing entirely on your own machine or infrastructure. It’s built for organizations that want meeting intelligence without sending recordings or transcripts to third-party cloud services, which helps address compliance and data sovereignty requirements. The app supports live transcription with local model options (including Whisper- and... -
20
Arnis
Generate any location from the real world in Minecraft
Arnis is a free and open-source desktop application that generates playable Minecraft worlds from real-world geographic data. The project processes large datasets from sources such as OpenStreetMap and elevation data to recreate terrain, buildings, roads, and landmarks with impressive spatial accuracy inside Minecraft. By converting geographic information into Minecraft blocks and structures, Arnis allows users to explore real cities, neighborhoods, and landscapes in a virtual environment... -
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PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization... -
22
GCSF
a FUSE file system based on Google Drive
GCSF is a virtual filesystem that allows users to mount their Google Drive account locally and interact with it as a regular disk partition. Update (April 2019): I am currently still using and maintaining this project but I have very little time to dedicate to it. As such, it might take a while before I get around to fixing known bugs / implementing feature requests / responding to open issues. Thank you for understanding and for expressing sustained interest in this project. GCSF requires... -
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CubeCL
Multi-platform high-performance compute language extension for Rust
CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory... -
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Tokenizers
Fast State-of-the-Art Tokenizers optimized for Research and Production
Fast State-of-the-art tokenizers, optimized for both research and production. Tokenizers provides an implementation of today’s most used tokenizers, with a focus on performance and versatility. These tokenizers are also used in Transformers. Train new vocabularies and tokenize, using today’s most used tokenizers. Extremely fast (both training and tokenization), thanks to the Rust implementation. Takes less than 20 seconds to tokenize a GB of text on a server’s CPU. Easy to use, but also... -
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ort
Fast ML inference & training for ONNX models in Rust
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn. The library emphasizes speed and...
