Search Results for "hyper-v" - Page 2
Sort By:
Showing 854 open source projects for "hyper-v"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
Static Analysis Tools for PHP
Docker image that provides static analysis tools for PHP
...The list of available tools and the installer is actually managed in the jakzal/toolbox repository. Docker image with quality analysis tools for PHP. To run the selected tool inside the container, you'll need to mount the project directory on the container with -v "$(pwd):/project". Some tools like to write to the /tmp directory (like PHPStan, or Behat in some cases), therefore it's often useful to share it between docker runs, i.e. with -v "$(pwd)/tmp-phpqa:/tmp". If you want to be able to interrupt the selected tool if it takes too much time to complete, you can use the --init option. Some tools are not included in the docker image, to use them refer to their documentation. ... -
2
UTM
Virtual machines for iOS and macOS
UTM is a full-featured system emulator and virtual machine host for iOS and macOS. It is based off of QEMU. In short, it allows you to run Windows, Linux, and more on your Mac, iPhone, and iPad. UTM/QEMU requires dynamic code generation (JIT) for maximum performance. JIT on iOS devices requires either a jailbroken device or one of the various workarounds found for specific versions of iOS. UTM SE ("slow edition") uses a threaded interpreter which performs better than a traditional... -
3
Automotive Engineering Suite
100+ installable Claude skills covering Engineering areas
Automotive Engineering Suite is a large collection of installable Claude skills for automotive engineering workflows. It includes builder skills and matching confirmation reviewer skills that help generate structured spreadsheet deliverables across the automotive lifecycle. The suite covers functional safety, cybersecurity, SOTIF, quality planning, Automotive SPICE, diagnostics, AUTOSAR, calibration, MBSE, SysML, and verification and validation. Each artifact-producing skill is paired with a... -
4
MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
...The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameter tuning to find the best model. It is no black box, as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model). -
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.
-
5
My Home Operations Repository
Wife approved HomeOps driven by Kubernetes and GitOps using Flux
This is a mono repository for my home infrastructure and Kubernetes cluster. I try to adhere to Infrastructure as Code (IaC) and GitOps practices using tools like Ansible, Terraform, Kubernetes, Flux, Renovate, and GitHub Actions. -
6
kotlin-logging
Lightweight Multiplatform logging framework for Kotlin
Lightweight Multiplatform logging framework for Kotlin, written in Pure Kotlin. A convenient and performant logging facade. Version 5 is not backward compatible with previous versions (v.3, v.2, v.1). Group id (in maven) and package names changed. It is possible to use both version 5 and previous versions side-by-side so some of the code from the old version and some new. It is also possible to have libs using old version and use the new version (and vice-versa). After seeing many questions like the Idiomatic way of logging in Kotlin and Best practices for loggers, it seems like there should be a standard for logging and obtaining a logger in Kotlin. -
7
TRIBE v2
A multimodal model for brain response prediction
...It is designed for in-silico neuroscience, enabling researchers to model how the brain responds to complex real-world inputs. The system integrates state-of-the-art encoders—including LLaMA for text, V-JEPA for video, and Wav2Vec-BERT for audio—into a unified Transformer architecture. This combined representation is mapped onto the cortical surface to predict fMRI responses across thousands of brain regions. TRIBE v2 allows researchers to simulate and analyze brain activity without requiring direct human experiments. Overall, it provides a powerful tool for studying perception, cognition, and multimodal processing in the brain. -
8
XiangShan
Open-source high-performance RISC-V processor
XiangShan is an open-source, high-performance RISC-V processor project that implements out-of-order superscalar cores using Chisel for hardware construction. The design targets modern performance goals—deep pipelines, speculative execution, multi-issue decode/execute, and sophisticated branch prediction—while remaining synthesizable for ASIC flows and portable to FPGAs for research. -
9
mold
A Modern Linker
...The tool is designed to integrate seamlessly into existing build systems, requiring minimal configuration changes to adopt. Mold supports a wide range of architectures, including x86-64, ARM, RISC-V, and PowerPC, making it suitable for diverse development environments. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
PicoClaw
Ultra-Efficient AI Assistant in Go
...Inspired by earlier AI assistant projects like “nanobot,” it was refactored to emphasize resource efficiency while still supporting meaningful AI-driven interactions such as conversational workflows, planning tasks, and automation. PicoClaw can run on hardware costing as little as $10 and on resource-constrained environments like RISC-V or ARM boards, with cross-architecture portability achieved through a single self-contained binary. The project’s goals include broad platform support (including Linux, macOS, and multiple CPU architectures), rapid startup times that make the assistant feel responsive, and integration with popular messaging platforms via gateways or bots. -
11
tt-metal
TT-NN operator library, and TT-Metalium low level kernel programming
...Instead of following a traditional GPU model centered on massive thread parallelism, the platform is built around a grid of specialized compute nodes called Tensix cores, each with local SRAM, dedicated compute units, and multiple RISC-V control processors. The SDK provides the abstractions and APIs needed to manage data movement, compute kernels, memory coordination, and execution flow across this architecture. -
12
NanoKVM
Affordable, Multifunctional, Nano RISC-V IP-KVM
Lichee NanoKVM is an IP-KVM product based on LicheeRV Nano, inheriting the extreme size and powerful features of LicheeRV Nano. The Lichee NanoKVM is available in two versions: NanoKVM Lite is a basic configuration that is suitable for individual users with certain DIY capabilities and enterprise users with bulk requirements. The NanoKVM Full is a full version with a sophisticated case and complete accessories, as well as a built-in system mirror card that is ready to use at boot, and is... -
13
rCore-Tutorial-Book-v3
A book about how to write OS kernels in Rust easily
rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical explanations with practical exercises, allowing students and enthusiasts to understand core OS concepts like bootstrapping, memory management, and process scheduling through hands-on implementation. -
14
Floating Vue
Easy tooltips, popovers, dropdown, menus... for Vue
Floating Vue is a Vue library for building tooltips, dropdowns, popovers, and hover menus positioned with Floating UI. It provides a v-tooltip directive for simple content and components such as VTooltip, VDropdown, and VMenu for richer interfaces. Popper content can contain Vue components, form controls, and custom slots. Developers can choose automatic or directional placement and configure hover, click, focus, touch, or manual triggers. Themes define default behavior and styling for different floating elements and can be extended globally or per component. ... -
15
CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
Claude’s C Compiler is a remarkable experiment in automated software generation: a full C compiler written from scratch in Rust entirely by an AI model (Claude Opus 4.6) with minimal human intervention, capable of targeting multiple architectures like x86-64, i686, ARM, and RISC-V. The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects. -
16
XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. ... -
17
Interactsh
An OOB interaction gathering server and client library
...Interactsh Cli client requires go1.17+ to install successfully. interactsh-client with -sf, -session-file flag can be used store/read the current session information from user defined file which is useful to resume the same session to poll the interactions even after the client gets stopped or closed. Running the interactsh-client in verbose mode (v) to see the whole request and response, along with an output file to analyze afterwards. Using the server flag, interactsh-client can be configured to connect with a self-hosted Interactsh server, this flag accepts single or multiple server separated by comma. Default servers are subject to change/rotate/down at any time, thus we recommend using a self-hosted interactsh server if you are experiencing issues with the default server. -
18
Clustering.jl
A Julia package for data clustering
Methods for data clustering and evaluation of clustering quality. -
19
Framework Benchmarks
Source for the TechEmpower Framework Benchmarks project
If you're new to the project, welcome! Please feel free to ask questions here. We encourage new frameworks and contributors to ask questions. We're here to help! This project provides representative performance measures across a wide field of web application frameworks. With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#,... -
20
llama.cpp
LLM inference in C/C++
...It provides command-line tools, a server mode with an OpenAI-compatible API style, model conversion utilities, and extensive backend acceleration options. llama.cpp runs on CPUs and GPUs, with support for Apple silicon, x86, RISC-V, CUDA, HIP, Vulkan, SYCL, Metal, and hybrid CPU-GPU execution. Its main value is making practical LLM inference accessible across consumer machines, servers, and specialized deployment environments. -
21
Futures-RS
Zero-cost asynchronous programming in Rust
futures-rs is a library providing the foundations for asynchronous programming in Rust. It includes key trait definitions like Stream, as well as utilities like join!, select!, and various futures combinator methods which enable expressive asynchronous control flow. Futures-rs works without the standard library, such as in bare metal environments. However, it has a significantly reduced API surface. -
22
box86
Linux Userspace x86 Emulator targeted at ARM Linux devices
...(There’s a long list, among them are Undertale, A Risk of Rain, or Cook Serve Delicious.) Box64 is the 64-bit version of Box86. It is used to run x86_64 binaries on ARM64 (i.e. aarch64) Linux. It can also run on RiSC-V and Loongarch machines. -
23
Weights and Biases
Tool for visualizing and tracking your machine learning experiments
Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved... -
24
SerenityOS
The Serenity Operating System
SerenityOS is an open source Unix-like operating system project with its own custom kernel, graphical user interface, system libraries, and userland tools. It combines a nostalgic “90s UI aesthetic” with modern system capabilities: a preemptive, multi-threaded kernel, own browsers, network stack, file systems, IPC, security features, and a suite of graphical / developer applications. The project is both a hobbyist OS and a polished engineering sandbox. -
25
Freqtrade
Free, open source crypto trading bot
...Example strategies to inspire you are available in the strategy repository. Download historical data of the exchange and the markets you may want to trade with. Find the best parameters for your strategy using hyper optimization which employs machining learning methods.
