Search Results for "machine" - Page 66
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Showing 4715 open source projects for "machine"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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CodeGuru Reviewer CLI Wrapper
Command line wrapper to interact with CodeGuru Reviewer
...To run the CLI, we need to have a version of git, Java (e.g., Amazon Corretto) and the AWS Command Line interface installed. Verify that both applications are installed on our machine. We will also need working credentials on our machine to interact with our AWS account. You can always use the CLI with Admin credentials but if you want to have a specific role to use the CLI, your credentials must have the provided permissions. You can provide your own bucket name using the --bucket-name option. Note that, currently, CodeGuru Reviewer only supports bucket names that start with the prefix codeguru-reviewer- out of the box. -
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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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Rio
A hardware-accelerated GPU terminal emulator powered by WebGPU.
...It targets to have the best frame per second experience as long you want, but is also configurable to use as minimal from GPU. It also relies on Rust memory behavior, since Rust is a memory-safe language that employs The terminal renderer is based on redux state machine, lines that has not updated will not suffer a redraw. Looking for the minimal rendering process in most of the time. Rio is also designed to support WebAssembly runtime so in the future you will be able to define how a tab system will work with a WASM plugin written in your favorite language. Rio uses WGPU, which is an implementation of WebGPU for use outside of a browser and as backend for firefox’s WebGPU implementation. ... -
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An intentionally designed vulnerable machine 'boot2root' challenge for beginners. Setup You will need Virtual Box or VMWare Player to import the OVA file included in this repository. I have tested this using Windows 10 and VirtualBox version 7. 1. Set the network adapter to host-only or bridge mode, so that you can launch the virtual machine. 2. Monitor the console for messages if all goes well you should spot the VM receiving an IP address. 3.
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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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Exercise Pacer
Exercise-machine HIIT workout beeper metronome pacer prompt
16 bit DOS program. Use with rowing machine, cycle ergometer, HIIT, or other exercise routines such as circuit training. Large on-screen timer and audible beep prompt. Best installed on bootable floppy or USB stick and run as standalone. -
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helpdesk ticketing system, knowledgebase
The Free & Popular HESK Web Based Software in Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a Help Desk live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with hd wherever mentioned ) After starting this VM, please login to its administration panel with: Website Address: https://hd.local/ ( Accept Any Warnings... -
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Lockheed MAC 16 mini emulator
Emulator for Lockheed Electronics Company MAC-16 minicomputer (1969)
My first java program is an attempt to relive the days I spent maintaining a Lockheed Electronics Company minicomputer installation in an old electricity generating station. I had a little bit to do with this machine around 1978. There was two of them in a failover configuration with the standby machine available for program and data development. My goal is to get the development package called DEVSYS to run from a paper tape image that I have hung onto for all these years. The program has a co-resident line editor and assembler but has no real purpose for me after that is running. -
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Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
...Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. Users can also launch the notebooks in Google Colab or Binder directly, making it extremely accessible. -
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Laravel Translation
Translation management for your Laravel application
Laravel Translation is a package for Laravel that allows you full control over your translations when using Laravel's localization functionality. The package allows you to manage your translations using either native file based translations but also provides a database driver which is useful in multi-server setups. It exposes a user interface allowing you to update existing and add new translations to your application. -
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LlamaChat
Chat with your favourite LLaMA models in a native macOS app
Chat with your favourite LLaMA models, right on your Mac. LlamaChat is a macOS app that allows you to chat with LLaMA, Alpaca, and GPT4All models all running locally on your Mac. -
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Network Instrument Workbench
Script driven framework for Prologix GPIB - Lan adapter & more
...Developed under FreeBSD, but built and tested without code change under Debian, XUbuntu and Devuan Linux. Overall, the aim is to provide some of the control functionality and simplicity of the old HP Basic instrument control framework, accessable from any machine on the network. It’s still a work ongoing, but functional enough now to upload and perhaps get some feedback from potential users. -
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Paddle Quantum
Paddle Quantum
...It has been utilized for developing several quantum machine learning applications. With the PaddlePaddle deep learning platform empowering QC, Paddle Quantum provides strong support for the scientific research community and developers in the field to easily develop QML applications. Moreover, it provides a learning platform for quantum computing enthusiasts. -
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llm
An ecosystem of Rust libraries for working with large language models
llm is an ecosystem of Rust libraries for working with large language models - it's built on top of the fast, efficient GGML library for machine learning. The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. ... -
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OGB
Benchmark datasets, data loaders, and evaluators for graph machine
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. ... -
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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. -
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picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy
picoGPT is a minimal implementation of the GPT-2 language model designed to demonstrate how transformer-based language models work at a conceptual level. The repository focuses on educational clarity rather than production performance, implementing the core components of the GPT architecture in a concise and readable way. It allows users to understand how tokenization, transformer layers, attention mechanisms, and autoregressive text generation operate in modern large language models. The... -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
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minimalRL-pytorch
Implementations of basic RL algorithms with minimal lines of codes
minimalRL is a lightweight reinforcement learning repository that implements several classic algorithms using minimal PyTorch code. The project is designed primarily as an educational resource that demonstrates how reinforcement learning algorithms work internally without the complexity of large frameworks. Each algorithm implementation is contained within a single file and typically ranges from about 100 to 150 lines of code, making it easy for learners to inspect the entire implementation... -
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OS X Yosemite
Installer App of Mac OS X Yosemite
Installer App of Mac OS X Yosemite 10.10 -
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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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GerX
German Extension for Inform 7
The previous GerX extension at http://ifiction.pageturner.de/inform7 only works with Inform releases up to 6G60. This extension works with Inform 7 10.2.1. -
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OS X Mountain Lion
Installer Application of Mac OS X Mountain Lion
Installer Application of Mac OS X Mountain Lion 10.8 .app -
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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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AOSHP
The time machine to old Android version
Welcome to Android Open Source History Project Our goal is to save generic AOSP builds, so that future generations would be able to see how android has developed through time! We don't know if Google is going to keep up those Android Images available in Android Studio. We must preserve what we have now, as Android 1.0, 1.1 and 1.5 are considered to be lost. Let's not let the origins of Android sink into oblivion! -
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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...
