Search Results for "virtual-machine" - Page 27
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Showing 2278 open source projects for "virtual-machine"
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
...Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. Scale up to hundreds of GPUs with upwards of 90% scaling efficiency. -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
Penetration-Testing-Tools is a curated collection of tools, scripts, cheatsheets and reference materials assembled to help security researchers, red-teamers, and students perform hands-on penetration testing across multiple domains. The repository groups resources by discipline — reconnaissance, web application testing, network exploitation, privilege escalation, post-exploitation and reporting — so users can quickly find relevant utilities and walkthroughs. Many entries include short usage... -
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SMC - The State Machine Compiler
Translates state machine into a target programming language.
SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info. -
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macintosh.js
A virtual Apple Macintosh with System 8, running in Electron
This is Mac OS 8, running in an Electron app pretending to be a 1991 Macintosh Quadra. It works on macOS, Windows, and Linux. Bear in mind that this is written entirely in JavaScript, so please adjust your expectations. The virtual machine is emulating a 1991 Macintosh Quadra 900 with a Motorola CPU, which Apple used before switching to the PowerPC architecture (Apple/IBM/Motorola) in the mid 1990s. You'll find various games and demos preinstalled, thanks to an old MacWorld Demo CD from 1997. Namely, Oregon Trail, Duke Nukem 3D, Civilization II, Alley 19 Bowling, Damage Incorporated, and Dungeons & Dragons. ... -
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BartyCrouch
Incrementally update/translate your Strings files
..."Incrementally" means that BartyCrouch will by default keep both your already translated values and even your altered comments. Additionally, you can also use BartyCrouch for machine translating from one language to 60+ other languages. Using BartyCrouch is as easy as running a few simple commands from the command line which can even be automated using a build script within your project. -
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The HaskellR project
The full power of R in Haskell
...HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build environment including all necessary system dependencies without touching your global filesystem. Use it as a cross-platform alternative to Docker. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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KotlinDL
High-level Deep Learning Framework written in Kotlin
KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning... -
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smclarify
Fairness aware machine learning. Bias detection and mitigation
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models. A facet is column or feature that will be used to measure bias against. A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Random fun
Notebooks and various random fun
Random Fun is a personal collection of experimental scripts and Jupyter notebooks covering machine learning, mathematics, neural networks, and programming ideas. It is not a single application, but a sandbox for compact demonstrations and exploratory work. Included notebooks examine topics such as MicroGrad-style autodiff, mixture density networks, evolution strategies, floating-point behavior, and KNN versus SVMs. Several notebooks explore minimal character-level recurrent neural networks and transformer-related ideas. ... -
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WFEF .NET Bindings
.NET bindings for the WFEF project.
Home Browse Open Source WFIO .NET Bindings WFIO .NET Bindings .NET bindings for WFIO Status: Pre-Alpha Brought to you by: thylordroot Add a Review Downloads: 0 This Week Last Update: 2023-01-25 Browse Code Get Updates Share This Windows Mac Linux BSD ChromeOS Summary Reviews Support Code This subproject contains a parallel implementation effort for the .NET Virtual Machine. It allows for you to use the WFEF interface in your .NET applications and will include a translation layer so that you can talk to the native WFEF libraries. This subproject exists partially to overcome the 8.3 file naming convention that WFEF itself is limited to. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to... -
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GXemul is a full-system computer emulator, emulating processors (ARM, MIPS, M88K, PowerPC, and SuperH) and surrounding peripherals, in some cases well enough to let unmodified guest operating systems run as if they were running on real hardware.
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homeshick
git dotfiles synchronizer written in bash
...By the power of git, homeshick enables you to bring the symphony of settings you have poured your heart into with you to remote computers. With it you can begin to focus even more energy on bettering your work environment since the benefits are reaped on whichever machine you are using. However bare bones these machines are, provided that at least Bash 3 and Git 1.5 are available you can use homeshick. homeshick can handle multiple dotfile repositories. This means that you can install larger frameworks like oh-my-zsh or a multitude of emacs or vim plugins alongside your own customizations without clutter. -
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RARS
RISC-V Assembler and Runtime Simulator
RARS, the RISC-V Assembler, Simulator, and Runtime, will assemble and simulate the execution of RISC-V assembly language programs. Its primary goal is to be an effective development environment for people getting started with RISC-V. -
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Dyalect
Dyalect is a programming language for .NET Core
...Dyalect (or Dy for short) is written in C# and has zero dependencies except for standard .NET Core libraries, which means that it can seamlessly run on Windows, MacOS and Linux. Moreover you can use the same binaries on any of these platforms! Dy runs on the top of its own high performance virtual machine. It compiles fast and can be used as an embeddable language or as a scripting language of your choice. It is also a good language to learn programming. Dyalect offers modern syntax, inspired by such languages as C#, Swift, Go and Rust, first class functions, coroutines, expressive modules, a dynamic type system with an ability to extend existing types with new functions and much more. ... -
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Orchest
Build data pipelines, the easy way
...Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically. -
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Lumen PHP Framework
The Laravel Lumen Framework.
Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching. -
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Knet
Koç University deep learning framework
...If you find a bug, please open a GitHub issue. If you don't have access to a GPU machine, but would like to experiment with one, Amazon Web Services is a possible solution. I have prepared a machine image (AMI) with everything you need to run Knet. Here are step-by-step instructions for launching a GPU instance with a Knet image (the screens may have changed slightly since this writing). -
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LifeAI is an artificial intelligence system that can be applied to robotics, games, or business. It simulates key processes of our minds, such as organizing data into concepts and categories, planning actions based on their predicted outcome, and communication. LifeAI was designed to be simple, but powerful and flexible enough to have many applications.
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WG UI
WireGuard Web UI for self-serve client configurations
...Keep in mind that this runs in userspace and not in kernel module. Unless you use the userspace version with docker you're required to have WireGuard installed on your host machine. You can configure wg-ui using commandline flags or environment variables. -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently and aggregate results. Because it uses job control and timers, it scales well on large codebases and keeps the editor responsive. ... -
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Distro_Boot
download iso's from distrowatch and boot them with qemu
Dow load and boot ISO or IMG images from distrowatch and boot them in a virtual PC environment. Currently the app supports about 90 different linux iso's out of the box but feel free to use this tool to test your own iso's (windows 10, 11, PE, etc). This is my way of attempting to inplement what 've learned in the past 10 months with stuff that I already know well. I hope you find this interesting. feel free to leave me a comment /thumbs up even hatemail is acceptable at this point. if you hate it please tell me too :) -
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Proteus Model Builder
GUI for training of neural network models for GuitarML Proteus
...GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal networks. So, Keith Bloemer a.k.a. GuitarML set up a Google Colab script to give people the Opportunity to train their own models online. Still, I thought that things could be easier, and I wanted a faster way to work with the python scripts. So I automated some things on my Windows 10 machine. I assume, that most musicians use this OS. ...
