Search Results for "data loader"
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Showing 97 open source projects for "data loader"
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Decky Loader
A plugin loader for the Steam Deck
...The platform is designed to persist across system updates and reboots, ensuring continuity of installed plugins without manual reconfiguration. It supports advanced developer features such as two-way communication between plugins and the loader, as well as interoperability between Python backends and TypeScript React frontends. Decky Loader also allows plugins to bypass typical browser restrictions like CORS, enabling more powerful integrations with external data sources. -
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html-loader
HTML Loader
Exports HTML as a string. HTML is minimized when the compiler demands. The true value enables the processing of all default elements and attributes, the false value disables the processing of all attributes. Allows you to specify which tags and attributes to process, filter them, filter urls and process sources starting with /. Allows to setup which tags and attributes to process and how, as well as the ability to filter some of them. Filter can also be used to extend the supported elements... -
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aconfig
Simple, useful and opinionated config loader
Simple, useful and opinionated config loader. There are many solutions regarding configuration loading in Go. I was looking for a simple loader that is as easy to use and understand as possible. The goal was to load config from 4 places: defaults (in the code), files, environment variables, command-line flags. This library works with all of these sources. -
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Java Data Loader
jdl is a loader utility for moving data from (CSV or XML) into a db.
usage: java [-options] -jar jarfile -c <arg> -d <arg> [-l <arg>] -c,--conn <arg> conn file -d,--data <arg> data file -l,--load <arg> load file Into src/test/resources you can find some sample (conn, data and load) files. -
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DataLoader
Generic utility to use with an application's data fetching layer
DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a simplified and consistent API over various remote data sources such as databases or web services via batching and caching. A port of the "Loader" API originally developed by @schrockn at Facebook in 2010 as a simplifying force to coalesce the sundry key-value store back-end APIs which existed at the time. -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform... -
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PowerSharpPack
Offensive CSharp Projects wraped into Powershell for easy usage
...Included projects cover a broad range of post-exploitation and reconnaissance needs: Kerberos tooling, host survey utilities, credential and browser data extractors, AD enumeration, privilege escalation helpers, persistence frameworks, and file/handle utilities. For convenience the repo also ships per-binary PowerShell loaders when users prefer to avoid loading the entire pack, plus helper binaries used for compression/encoding. -
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GitHubPoster
Make everything a GitHub svg poster and Skyline
GitHubPoster is a Python project that turns personal activity data into GitHub-style SVG posters and skyline visualizations. It can transform data from many sources, such as GitHub, Strava, WakaTime, Kindle, Duolingo, Apple Health, ChatGPT exports, NeoDB, AutoSleep, and Google Keep. The project is built around loaders that import data and render it as visually recognizable contribution-style graphics. It is useful for people who want to display habits, reading, coding, health, language... -
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systemd
The systemd system and service manager
systemd is a suite of basic building blocks for a Linux system. It provides a system and service manager that runs as PID 1 and starts the rest of the system. systemd provides aggressive parallelization capabilities, uses socket and D-Bus activation for starting services, offers on-demand starting of daemons, keeps track of processes using Linux control groups, maintains mount and automount points, and implements an elaborate transactional dependency-based service control logic. systemd... -
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Codex++
Codex++ tweak system for the Codex desktop app
Codex++ is a tweak system for the Codex desktop app that lets users add custom features, fix UI issues, and manage extensions without rebuilding the application. It patches the local Codex installation so a loader runs on startup and loads tweak modules from the user’s data directory. The runtime injects a Tweaks tab into the Codex settings interface, where users can enable, disable, and configure installed tweaks. The project works on macOS and Windows, with platform-specific installation, repair, backup, and update behavior. It includes tools for creating, validating, updating, and safely disabling tweaks when something goes wrong. codex-plusplus is an unofficial customization layer for advanced Codex users who want more control over the desktop experience. -
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OpenAI DALL·E AsyncImage SwiftUI
OpenAI swift async text to image for SwiftUI app using OpenAI
SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models for... -
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Agents-Flex
Agents-Flex is an elegant LLM Application Framework like LangChain
...Agents-Flex has a very flexible Function Calling component. It supports local method definitions, parsing, callbacks through LLMs, and executing local methods to obtain results. Agents-Flex offers Loader, Parser, and Splitter components for the Document. Each component has multiple implementations, making it easy to load data from the web, local files, databases, and various data types. -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of... -
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Armbian Linux Build Framework
Armbian Linux Build Framework
...BASH shell and lightweight XFCE-based desktop. Standard boot, config, and update methods with minimal user-space footprint. Special config utilities are optional. A distributed image is compressed to its real data size which starts below 1G. Login is possible via serial, HDMI/VGA or SSH. Boot loader and kernel optimizations, memory caching, ZRAM swap, and video acceleration where applicable. Images are made fully automatized from sources. Releases are PGP signed and code is regularly inspected by the community. Long-term support, quick security fixes, documentation and community-based end-user support. ... -
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Micrometer
App observability facade for the most popular observability tools
...Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
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c15t
The Developer-First Cookie Banner
c15t is a developer-first, open-source consent management platform designed to help modern web applications manage user privacy and compliance, especially for things like cookie banners, consent dialogs, and script loading in a way that supports GDPR and other privacy regulations. Rather than relying on heavy third-party scripts or services, it offers a flexible, headless engine that web teams can integrate directly into their front-end and edge stacks with minimal overhead, giving full... -
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DelphiWebStart (DWS) is an Application Loader with TCP Sockets based on a ThinClient first spread over the Web, VPN or Intranet. So a user can download data (exes, maps, files) from a list and start it. DWS supports OpenSSL including a PKI HTTPS-Server.
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Introduction Using Driver Global Injection dll, it can hide DLL modules. You need to determine the process name you want in DllMain Develop DriverInjectDll driver program Input_dll Tell the driver to inject DLL binary data Loader Shelcode for Memory Loaded DLL MyDll TODO: Judging Injected Process Name in DLLMain Build vs2008-vs2017 wdk7-wdk10 How Use step1: install and start driver program step2: run Input_dll.exe
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vue3-sfc-loader
Single File Component loader for Vue2 and Vue3. Load .vue files
Single File Component Loader for Vue2 and Vue3. Load .vue files directly from your HTML. No node.js environment, no build step. No node.js environment, no (webpack) build step needed. Supports Vue 3 and Vue 2. Supports IE11, only requires Vue runtime-only build. esm and umd bundles are available. Embedded ES6 modules support. JSX support. Custom CSS, HTML and Script language Support, see pug and stylus examples. SFC Custom Blocks support. Properly reports template, style or script errors... -
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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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Aestel
Applications for data management
"Information is data in action", and, consequently, having good quality data is essential. The AESTEL package contains two highly configurable applications for data management: A data loader and a reporting application, i.e. DataLoader and AEREA, respectively. The data loader application applies user-defined instructions to validate, process and load data. -
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FFCV
Fast Forward Computer Vision (and other ML workloads!)
ffcv is a drop-in data loading system that dramatically increases data throughput in model training. From gridding to benchmarking to fast research iteration, there are many reasons to want faster model training. Below we present premade codebases for training on ImageNet and CIFAR, including both (a) extensible codebases and (b) numerous premade training configurations. -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for... -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). ... -
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OAuth2
OAuth2 framework for macOS and iOS, written in Swift
OAuth2 frameworks for macOS, iOS, and tvOS written in Swift 5.0. OAuth2 requires Xcode 10.2, the built framework can be used on OS X 10.11 or iOS 8 and later. Happy to accept pull requests, please see CONTRIBUTING.md. Since the Swift language is constantly evolving I have adopted a versioning scheme mirroring Swift versions: the framework version's first two digits are always the Swift version the library is compatible with, see releases. Code compatible with brand-new Swift versions should...
