Search Results for "virtual-machine" - Page 8
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855 projects for "virtual-machine" with 2 filters applied:
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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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Lingua
The most accurate natural language detection library for Java
Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ... -
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XSIBackup-Classic
Local and over IP backups for ©VMWare ©ESXi 5.1 to 6.7
VMWare backup and replication for ESXi vSphere virtual machines to datastore or differential over IP. No agents, self capable, runs in the hypervisor host, ESXi 5.1, ESXi 5.5 & ESXi <=6.7 compatible, hot backups. Consists in a cron programmable service running in the hypervisor. Hot backups, fully functional, standalone, ideal for dedicated servers. Full version supports quiescing, differential backup, deduplication and much more... -
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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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waybackurls
Fetch all the URLs that the Wayback Machine knows about for a domain
waybackurls is a command-line reconnaissance tool that retrieves historical URLs associated with a given domain by querying the Internet Archive’s Wayback Machine. It accepts input domains via standard input and outputs a list of discovered URLs, making it easy to integrate into pipelines and automated workflows. The tool is particularly valuable in security research, bug bounty hunting, and penetration testing, as it uncovers endpoints that may no longer be publicly linked but still exist on servers. ... -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
...It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. ... -
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CountBitsSet
minimal benchmark code for Counting Set Bits (ones) in an Integer
...PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside countbisset (hamming weight): ceil(log2()) + floor(log2()), bitreverse, ... I also recommand to try the code with different compilers and / or plattforms. PS: see result.txt in Code, to see various runs with different compilers and compiler switches -
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SharkLinux
Virtualization Focused OS & Cloud Compatible Desktop Environment
SharkLinux is a 64 bit Linux Desktop that specializes in virtualization. The OS is based on Ubuntu 20.04 and features a custom MATE/XFCE desktop capable of running on a cloud server with little impact on performance. The OS runs KVM as the primary hypervisor and provides a wide range of tools to build and run VM's and containers. SharkLinux has several distinct qualities from other Linux systems such as; automatic system upgrades, sudo users can run shell commands without a password.... -
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vmm - a virtual mail manager
command line tool to manage email (alias-)domains/accounts/aliases …
vmm is the easy to use and configurable command line tool for administrators and postmasters, to manage domains, alias-domains, accounts and relocated mail users. It allows the fast and easy management of mail servers. vmm is written in Python. It's designed for installations using Dovecot and Postfix with a PostgreSQL backend. -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. ... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. ... -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. ... -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. -
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eggos
A Go unikernel running on x86 bare metal
...In EggOS, there are no processes or traditional system calls; instead, concurrency is handled entirely through goroutines and communication channels. The system includes a network stack capable of supporting TCP and UDP, as well as a virtual file system and basic console interface, enabling it to run networked applications directly on hardware. It also integrates additional capabilities such as a JavaScript interpreter and experimental plans for WebAssembly execution, demonstrating its extensibility. -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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Chess.jl
Julia chess programming library
...There are functions for creating and manipulating chess games, chess positions and sets of squares on the board, for reading and writing chess games in the popular PGN format (including support for comments and variations), for creating opening trees, and for interacting with UCI chess engines. The library was designed for the purpose of doing machine learning experiments in computer chess, but it should also be suitable for most other types of chess software. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. ... -
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Superfine
Absolutely minimal view layer for building web interfaces
...When describing how a page looks in Superfine, we don't write markup. Instead, we use the h() and text() functions to create a lightweight representation of the DOM (or virtual DOM for short), and patch() to actually render the DOM. Superfine won't re-create the entire DOM every time we use patch(). By comparing the old and new virtual DOM we are able to change only the parts of the DOM that need to change instead of rendering everything from scratch. -
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accessible-slick
The last (accessible) carousel you'll ever need
A highly accessible, WCAG 2.0 / 2.1 compliant, drop-in replacement for Slick Slider (1.8.1) crafted and tested by expert users and professional accessibility consultants, intended to make life easier for real-world dev teams who need to pass accessibility audits. -
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Archive of Formal Proofs
A collection of machine-checkend mathematical proofs
The Archive of Formal Proofs is a collection of proof libraries, examples, and larger scientifc developments, mechanically checked in the theorem prover Isabelle. It is organized in the way of a scientific journal. Submissions are refereed. -
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Orbit
Virtual actor framework for building distributed systems
Orbit is a framework to write distributed systems using virtual actors on the JVM. A virtual actor is an object that interacts with the world using asynchronous messages. At any time an actor may be active or inactive. Usually the state of an inactive actor will reside in the database. When a message is sent to an inactive actor it will be activated somewhere in the pool of backend servers. -
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asm-dom
A minimal WebAssembly virtual DOM to build C++ SPA
asm-dom is a minimal virtual DOM library designed to bring high-performance UI rendering to web applications by leveraging WebAssembly and low-level memory control. It enables developers to build single-page applications using languages like C or C++ compiled to WebAssembly, rather than relying solely on JavaScript frameworks. The library provides a lightweight abstraction for creating and updating virtual DOM nodes, allowing efficient diffing and patching of the real DOM. ... -
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The FSKC is a CASE tool that allows developers to specify all valid and invalid state-event combinations of a finite state machine (FSM) through a simple to use GUI. Functions called from the FSK can be coded and linked to form a complete FSM.
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tcl-virtualscrolling
Virtual Scrolling without a frame or canvas wrapper
This code implements virtual scrolling using callbacks to configure and populate the rows. Each row display is configured with a callback and the data for each row is populate with a callback. -
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Kore
Scalable and secure web application framework
...It is fully privileged separated while using strong security features at the operating system level such as second, pledge, unveil, and more. Today Kore is used in a variety of applications ranging from high assurance cryptographic military devices, machine-learning stacks and even in the aerospace industry. From embedded platforms all the way to high-performance servers. Kore scales. Kore is open source software licensed under the ISC license and developed in my spare time. If Kore helped you or your company please consider a donation to help any future development. Kore provides official docker images for its releases.
