Search Results for "kernel virtual machine" - Page 2
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Showing 642 open source projects for "kernel virtual machine"
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
...It also supports differentiable programming, enabling gradients to be computed through simulation pipelines, which is particularly valuable for machine learning integration. -
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Cosmopolitan
Build-once run-anywhere c library
Cosmopolitan Libc makes C a build-once run-anywhere language, like Java, except it doesn't need an interpreter or virtual machine. Instead, it reconfigures stock GCC and Clang to output a POSIX-approved polyglot format that runs natively on Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS with the best possible performance and the tiniest footprint imaginable. Cosmopolitan can be compiled from source on any Linux distro. GNU make needs to be installed beforehand. ... -
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
AutomatedLab is a provisioning solution and framework that lets you deploy complex labs on HyperV and Azure with simple PowerShell scripts. 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... -
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.
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HFS (HTTP File Server)
HFS is a web file server to run on your computer
HFS is a lightweight HTTP file server for Windows that allows users to share files over the web easily, turning their local machine into a file server. -
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stress-ng
This is the stress-ng upstream project git repository.
This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces. stress-ng was originally intended to make a machine work hard and trip hardware issues such as thermal overruns as well as operating system bugs that only occur when a system is being thrashed hard. Use stress-ng with caution as some of the tests can make a system run hot on poorly designed hardware and also can cause excessive system thrashing which may be difficult to stop. -
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DevPod
Codespaces but open-source, client-only and unopinionated
DevPod is a client-only tool to create reproducible developer environments based on a devcontainer.json on any backend. Each developer environment runs in a container and is specified through a devcontainer.json. Through DevPod providers, these environments can be created on any backend, such as the local computer, a Kubernetes cluster, any reachable remote machine, or in a VM in the cloud. You can think of DevPod as the glue that connects your local IDE to a machine that you want to... -
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Virtual Motherboard
Plug&Play Hardware simulation over a virtual bus system.
The Virtual Motherboard provides a specification of a TCP/IP based system bus, a motherboard simulator implementing this specifaction, and a collection of reusable device simulators. It is the perfect start to build new custom hardware simulators. -
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Brownie
A Python-based development and testing framework for smart contracts
Brownie is a Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine. Powerful debugging tools, including python-style tracebacks and custom error strings. The recommended way to install Brownie is via pipx. pipx installs Brownie into a virtual environment and makes it available directly from the command-line. Once installed, you will never have to activate a virtual environment prior to using Brownie. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Rasa
Open source machine learning framework to automate text conversations
...If you want to build it from the source, you have to install Poetry first. By default, Poetry will try to use the currently activated Python version to create the virtual environment for the current project automatically. -
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PlexGuide.com
Rapidly deploy multiple-hasty Docker containers
...PGBlitz utilizes Ansible and Docker to streamline your Media Server while deploying multiple tools for your Server Operations. Deploys multiple programs/apps and functional within 10 - 30 seconds. Deploy PlexGuide on a remote machine, local machine, VPS, or virtual machine. Deploy PlexGuide utilizing Google's GSuite for unlimited space or through the solo or multiple HD editions. Deploys a Reverse Proxy (Traefik) so you can obtain https certificates on all your containers. Backup and Restore data through your Google Drive. Aligns data and ports for efficiency. ... -
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Triton
Development repository for the Triton language and compiler
Triton is a programming language and compiler framework specifically designed for writing highly efficient custom deep learning operations, particularly for GPUs. It aims to bridge the gap between low-level GPU programming, such as CUDA, and higher-level abstractions by providing a more productive and flexible environment for developers. Triton enables users to write optimized kernels for machine learning workloads while maintaining readability and control over performance-critical aspects... -
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dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
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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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nbmake
Pytest plugin for testing notebooks
Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks. -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
...See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this. -
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EthereumJS Monorepo
Monorepo for the Ethereum VM TypeScript Implementation
This repository holds various protocol building blocks of the Ethereum blockchain execution layer and is managed by the Ethereum Foundation JavaScript team. There is a TypeScript implementation of the Ethereum Virtual Machine (EVM) ready to be used in Node.js or a browser environment, implementations of core structural blockchain building blocks like an Ethereum Tx, Block or Blockchain as well as a Trie (Merkle Patricia Tree) and devp2p (execution networking layer) implementation. All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. ... -
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Otter-Grader
A Python and R autograding solution
...Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope. -
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Expr
Expression language and expression evaluation for Go
Expr package provides an engine that can compile and evaluate expressions. An expression is a one-liner that returns a value (mostly, but not limited to, booleans). It is designed for simplicity, speed and safety. The purpose of the package is to allow users to use expressions inside configuration for more complex logic. It is a perfect candidate for the foundation of a business rule engine. The idea is to let configure things in a dynamic way without recompile of a program. -
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Hex
Package manager for the Erlang ecosystem
Hex is the official package manager for the Erlang ecosystem, supporting languages like Elixir and Erlang that run on the BEAM virtual machine. It integrates seamlessly with build tools such as Mix and Rebar3, allowing developers to fetch, publish, and manage packages efficiently. Hex provides a centralized repository, ensuring that packages are easily discoverable and maintainable, thereby streamlining the development workflow within the BEAM community. -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the... -
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Lua
The Lua development repository, as seen by the Lua team
...Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. Lua is designed, implemented, and maintained by a team at PUC-Rio, the Pontifical Catholic University of Rio de Janeiro in Brazil. Lua was born and raised in Tecgraf, formerly the Computer Graphics Technology Group of PUC-Rio. ... -
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
...Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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ebye
Embedded by examples
Building of embedded systems from scratch including their cross-toolchain and using virtual and/or emulated machines as pratical examples.
