Search Results for "kernel-module-ntfs" - Page 24
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Showing 4810 open source projects for "kernel-module-ntfs"
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Node Modules Inspector
Interactive UI for local node modules inspection
This is a tool (CLI + interactive UI) for inspecting the node_modules directory of a JavaScript/TypeScript project, created by Anthony Fu. It supports projects using npm, pnpm or bun. The idea is to help developers visualise the dependency graph, see which dependencies are installed, their sizes, types (ESM vs CJS), origins (catalog vs registry), and filter or build a static report of a project’s dependency tree. The project includes a web UI version that you can try at node-modules.dev, and... -
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TextFSM
Python module for parsing semi-structured text into python tables
TextFSM is a Python library created by Google that provides a template-based state machine engine for parsing semi-structured text. It is particularly useful for extracting structured data from command-line interface (CLI) outputs, such as those from network devices, routers, and switches. By defining parsing logic through reusable template files, TextFSM transforms unstructured text into structured data like lists or tables without requiring complex regular expression code. Each template... -
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fvcore
Collection of common code shared among different research projects
...Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. The file I/O layer (PathManager) abstracts local/remote storage so the same code can read from disks, cloud buckets, or HTTP endpoints. Because it is small, stable, and well-tested, fvcore is frequently imported by projects like Detectron2 and PyTorchVideo to avoid duplicating infrastructure and to keep research repos. -
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Generative AI JS
This SDK is now deprecated, use the new unified Google GenAI SDK
deprecated-generative-ai-js is a JavaScript/TypeScript client and example suite for interacting with Gemini generative APIs in web and Node.js environments. Though marked deprecated (likely superseded by newer SDKs), the repo shows how to wrap HTTP/WS endpoints, manage streaming responses, and interoperate with browser UI or server logic. The examples include chat widgets, prompt pipelines, and generalized inference utilities. It also deals with streaming cancellation, retries, backoff... -
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graphql-upload
Middleware and an Upload scalar to add support for GraphQL multipart
Middleware and an Upload scalar to add support for GraphQL multipart requests (file uploads via queries and mutations) to various Node.js GraphQL servers. Clients implementing the GraphQL multipart request spec upload files as Upload scalar query or mutation variables. Their resolver values are promises that resolve file upload details for processing and storage. Files are typically streamed into cloud storage but may also be stored in the filesystem. Use the middleware graphqlUploadKoa or... -
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Suave
Suave is a simple web development F# library
Suave is a simple web development F# library providing a lightweight web server and a set of combinators to manipulate route flow and task composition. Suave is inspired in the simplicity of Happstack and born out of the necessity of embedding web server capabilities in my own applications. Suave supports Websocket, HTTPS, multiple TCP/IP bindings, Basic Access Authentication, Keep-Alive. Suave also takes advantage of F# asynchronous workflows to perform non-blocking IO. In fact, Suave is... -
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GluonTS
Probabilistic time series modeling in Python
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models. GluonTS requires Python 3.6 or newer, and the easiest way to install it is via pip. We train a DeepAR-model and make predictions using the simple "airpassengers" dataset. The dataset consists of a single time-series, containing monthly international passengers between the years 1949 and 1960, a total of 144 values (12 years * 12 months). We split the dataset into train and test parts,... -
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AutoGluon
AutoGluon: AutoML for Image, Text, and Tabular Data
...AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>. -
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DCV Color Primitives
DCV Color Primitives Library
DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. You might want to propagate errors to the caller function or mix with some other error types. So far,... -
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DIY Split-Flap Display
DIY split-flap display
This is a work in progress split-flap display. Each module can flip between 40 unique characters: letters, numbers, and a few symbols. Multiple modules fit perfectly alongside each other to build bigger displays. The primary design goal was to make something that's possible to fabricate at home in small or single quantities and can be customized and built by an intermediate hobbyist at a reasonable price. -
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Vulcain
Fast and idiomatic client-driven REST APIs
Vulcain is a brand new protocol using HTTP/2 Server Push to create fast and idiomatic client-driven REST APIs. An open-source gateway server that you can put on top of any existing web API to instantly turn it into a Vulcain-compatible one is also provided! It supports hypermedia APIs but also any "legacy" API by documenting its relations using OpenAPI. The protocol has been published as an Internet-Draft that is maintained in this repository. A reference, production-grade, implementation... -
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Nebular
Customizable Angular UI Library based on Eva Design System
...Nebular is a customizable Angular UI Library based on Eva Design System specifications, with 40+ UI components, 4 visual themes, Auth and Security modules. Each feature is a separate npm module. Use only what you need. Sizes, colors, appearances, shapes, and other useful settings. Source code is free and available under the MIT license. A straightforward way to integrate your brand. Choose from 40+ ready-to-use Angular UI components with no 3rd party dependencies. Benefit from an easier and faster way of building a visually appealing and responsive UI for apps. -
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node-gyp
Node.js native addon build tool
...If you have multiple Python versions installed, you can identify which Python version node-gyp should use. A binding.gyp file describes the configuration to build your module, in a JSON-like format. This file gets placed in the root of your package, alongside package.json. -
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Chokidar
Minimal and efficient cross-platform file watching library
...Initially made for Brunch (an ultra-swift web app build tool), it is now used in Microsoft's Visual Studio Code, gulp, karma, PM2, browserify, webpack, BrowserSync, and many others. It has proven itself in production environments. Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents. -
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TSDX
Zero-config CLI for TypeScript package development
Despite all the recent hype, setting up a new TypeScript (x React) library can be tough. Between Rollup, Jest, tsconfig, Yarn resolutions, TSLint, and getting VSCode to play nicely, there is just a whole lot of stuff to do (and things to screw up). TSDX is a zero-config CLI that helps you develop, test, and publish modern TypeScript packages with ease, so you can focus on your awesome new library and not waste another afternoon on the configuration. With TSDX, you can quickly bootstrap a new... -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. ... -
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NGINX Ingress Controller
NGINX Ingress Controller for Kubernetes
...Though it is important to note that we don't reload Nginx on changes that impact only an upstream configuration (i.e Endpoints change when you deploy your app). We use lua-nginx-module to achieve this. Check below to learn more about how it's done. Usually, a Kubernetes Controller utilizes the synchronization loop pattern to check if the desired state in the controller is updated or a change is required. To this purpose, we need to build a model using different objects from the cluster, in particular (in no special order) Ingresses, Services, Endpoints, Secrets, and Configmaps. -
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Inquirer.js
A collection of common interactive command line user interfaces
...Inquirer.js provides the user interface and the inquiry session flow. If you're searching for a full blown command line program utility, then check out commander, vorpal or args. Create a self contained inquirer module. If you don't want to affect other libraries that also rely on inquirer when you overwrite or add new prompt types. Internally, Inquirer uses the JS reactive extension to handle events and async flows. This mean you can take advantage of this feature to provide more advanced flows. For example, you can dynamically add questions to be asked. -
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Gradle Plugin for Node
Gradle plugin for integrating NodeJS in your build
gradle-node-plugin is a Gradle plugin that enables seamless integration of Node.js, npm, and Yarn within Gradle builds. It helps Java-based projects manage JavaScript dependencies and run Node.js tasks efficiently. -
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why-is-node-running
For when Node is running but you don't know why
why-is-node-running is a diagnostic tool for Node.js developers that helps answer the question: “why is my Node.js process still alive?” In complex asynchronous code — with timers, open handles, network sockets, file watchers, or unfulfilled promises — it can be tricky to figure out what is preventing the event loop from exiting. This utility inspects the active handles and resources in the runtime, prints a breakdown of open callbacks, sockets, timers, and other tasks, and explains what’s... -
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Learn AI Engineering
Learn AI and LLMs from scratch using free resources
...The curation recognizes modern AI realities, including data pipelines, evaluation, prompt engineering, retrieval-augmented generation, and cost/performance trade-offs. It’s equally useful for refreshers—dipping into a specific module before a project—as it is for a full, self-directed curriculum. By centralizing the best references in one place, the repo reduces the overhead of finding, filtering, and sequencing resources, letting you focus on learning and building. -
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Chartkick
Create beautiful JavaScript charts with one line of Ruby
Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like... -
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Live-Forensicator
A suite of Tools to aid Incidence Response and Live Forensics
Live-Forensicator is a toolkit intended for live forensic collection and initial triage on Windows machines. It automates the capture of volatile information—running processes, network connections, loaded drivers, account sessions, and in-memory artifacts—into a consistent artifact set that investigators can analyze offline. The tool tries to be non-invasive while collecting sensitive data quickly and logs the collection steps to preserve chain-of-custody details and to help auditors... -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy... -
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Jittor
Jittor is a high-performance deep learning framework
...Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. The front-end language is Python. Module Design and Dynamic Graph Execution is used in the front-end, which is the most popular design for deep learning framework interface. The back-end is implemented by high-performance languages, such as CUDA, C++. Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. ...
