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Showing 1128 open source projects for "loading"
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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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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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R3nzSkin
Skin changer for League of Legends (LOL)
R3nzSkin is an internal skin changer for League of Legends. Change the skin of your champion, your ward, other champions, towers, minions, and jungle monsters in the game. If your CPU supports the AVX / AVX2 / AVX-512 instruction set, you can enable it in project settings. This should result in more performant code, optimized for your CPU. Currently, SSE2 instructions are selected in project settings. Change skins anytime and unlimited times in a single game. Supports all popular languages... -
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LocustDB
Massively parallel, high performance analytics database
...See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files with --load, the first line of each file is assumed to be a header containing the names for all columns. The type of each column will be derived automatically, but this might break for columns that contain a mixture of numbers/strings/empty entries. To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path. -
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IElixir
Jupyter's kernel for Elixir programming language
...Boyle installs environment into ./envs/you_new_environment directory and creates new mix project there with requested dependencies. It keeps takes care of fetching, compiling and loading/unloading modules from dependencies list of that environment. -
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JLD.jl
Saving and loading julia variables while preserving native types
JLD, for which files conventionally have the extension .jld, is a widely used format for data storage with the Julia programming language. JLD is a specific "dialect" of HDF5, a cross-platform, multi-language data storage format most frequently used for scientific data. By comparison with "plain" HDF5, JLD files automatically add attributes and naming conventions to preserve type information for each object. For lossless storage of arbitrary Julia objects, the only other complete solution... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
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ArkiFuse - Arki's mod of "FUSE" emulator
Builds of "FUSE" emulator with my own mods
ArkiFuse is a free (GPL v2+) ZX Spectrum emulator based on FUSE Spectrum emulator (https://sourceforge.net/projects/fuse-emulator/). ArkiFuse contains some additional modifications and fixes, which have not been accepted or merged (yet) into the original FUSE project. See "Files" tab for download options of distribution files. Individual modifications/features can be tested with separately built distribution file(s) or .. - Nightly build of (Fuse) master, without mods - ... -
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REL
Modern ORM for Golang
REL is a modern and lightweight ORM for Go that emphasizes testability, flexibility, and composability. It supports a repository pattern and expressive query building with support for advanced SQL features. REL aims to make it easier to write maintainable, testable, and readable database logic in idiomatic Go. -
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is-ipfs
A set of utilities to help identify IPFS resources on the web
A set of utilities to help identify IPFS resources on the web. Loading this module through a script tag will make it's exports available as IsIpfs in the global namespace. -
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NvChad
Blazing fast Neovim config providing solid defaults and a beautiful UI
NvChad is a neovim config written in lua aiming to provide a base configuration with very beautiful UI and blazing fast start time (around 0.02 secs ~ 0.07 secs). We tweak UI plugins such as telescope, nvim-tree etc well to provide an aesthetic UI experience. Lazy loading is done 93% of the time meaning that plugins will not be loaded by default, they will be loaded only when required also at specific commands, events etc. This lowers the start time and it was like 0.07~ secs tested on an old Pentium machine 1.4ghz + 4gb ram & HDD. NvChad is supposed to be used with its starter config, so nvchad main repo ( this repo ) can be imported as a plugin via lazy's import feature and then you can easily use this repo's modules like autocmds etc. -
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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Vampyre Imaging Library
Image library for Object Pascal.
Imaging is native Object Pascal (Delphi and FPC) image loading, saving and manipulation library. It is available for several platforms and does not require any third party dynamic libraries. -
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angular translate
Translating your AngularJS 1.x apps
angular-translate is an AngularJS module that makes your life much easier when it comes to i18n and l10n including lazy loading and pluralization. It provides components like filters and directives, asynchronous loading of i18n data, full pluralization support through MessageFormat and much more! angular-translate is very flexible. You can build your own loaders, storages or error handlers and extend angular-translate to your needs! -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it... -
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Eleventy High Performance Blog
A high performance blog template for the 11ty static site generator
...The starter is organized for excellent Core Web Vitals by default, emphasizing fast Largest Contentful Paint, stable layout, and minimal blocking resources. It includes responsive image pipelines, modern font loading strategies, and progressive enhancement so content remains usable without client-side scripts. The structure also encourages good content semantics and metadata, making it easy to achieve top Lighthouse scores across performance, SEO, and accessibility. Because it’s a static-site approach with Eleventy’s flexible templating, teams can customize layouts and content models while preserving the starter’s performance. -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
TensorFlow Hub is a repository that provides a library and platform for publishing, discovering, and reusing pre-trained machine learning models built with TensorFlow. The project enables developers to integrate high-quality models into their applications without needing to train them from scratch. Through TensorFlow Hub, researchers and practitioners can share reusable model components such as image classifiers, text embedding models, and object detection networks. These models can be... -
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RAGxplorer
Open-source tool to visualise your RAG
RAGxplorer is an open-source visualization tool designed to help developers analyze and understand Retrieval-Augmented Generation (RAG) pipelines. Retrieval-augmented generation combines language models with external document retrieval systems in order to produce more accurate and grounded responses. However, RAG systems can be complex because they involve multiple components such as embedding models, vector databases, and retrieval algorithms. RAGxplorer provides visual tools that allow... -
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ThumbHash
A very compact representation of an image placeholder
...The design intentionally targets inlined storage: hashes are small enough to live directly in JSON payloads, databases, or HTML attributes without ballooning page size. Libraries in multiple languages make it easy to generate and decode hashes on the server or client. For UI developers looking for smooth image loading experiences—especially in galleries and feeds—ThumbHash is a modern alternative to placeholder techniques like BlurHash, with improvements in color accuracy and aspect preservation. -
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Mixtral offloading
Run Mixtral-8x7B models in Colab or consumer desktops
...This approach takes advantage of the sparse activation properties of mixture-of-experts architectures, where only a subset of expert networks are used for each token during generation. By selectively loading and caching the required experts, the system avoids keeping the entire model in GPU memory at once. The repository includes notebooks and code examples that demonstrate how to run large language models on consumer hardware such as personal GPUs or cloud notebook environments. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
...OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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ZX Spectrum Bulk Data Transfer - esxdos
ZX Spectrum bulk data transfer via EAR port.
...If you have the means to play back TAP files, t2esx allows you to transfer any arbitrary amount of raw data (theoretical upper limit – 1G). Utility provided in two flavours – “regular” 48k programme and the esxdos dot command. There are no other restrictions, utility uses standard ROM routine for loading data blocks from the audio input port, so it works on any Spectrum model. It was originally created for the Sizif-512 board, which allows up to 4x speed increase during tape loading. 640K (TRD disk image) can be transferred in less than 15 minutes at 4x speed. Utility uses very basic data stream integrity control, allowing to re-start data transfer of a failed chunk. -
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LLaMA-MoE
Building Mixture-of-Experts from LLaMA with Continual Pre-training
...The project is not just a model release, but also a research framework that includes multiple expert construction methods, several gating strategies, and tooling for continual pre-training on filtered SlimPajama-based datasets. It also emphasizes training efficiency through features such as FlashAttention-v2 integration and fast streaming dataset loading, which are important for large-scale experimentation. -
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EasyEXE
simplify converting Python scripts into standalone executables.
EasyEXE is a Python script designed to simplify the process of converting Python scripts into standalone executables. It utilizes PyInstaller to achieve this conversion and provides a user-friendly interface for customizing various options. -
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ts-node
TypeScript execution and REPL for node.js
It JIT transforms TypeScript into JavaScript, enabling you to directly execute TypeScript on Node.js without precompiling. This is accomplished by hooking node's module loading APIs, enabling it to be used seamlessly alongside other Node.js tools and libraries. Automatic defaults to match your node version, integrate with test runners, debuggers, and CLI tools, compatible with pre-compilation for production. Installing modules locally allows you to control and share the versions through package.json. TS Node will always resolve the compiler from cwd before checking relative to its own installation.ts-node exports a create() function that can be used to initialize a TypeScript compiler that isn't registered to require.extensions, and it uses the same code as register. ts-node supports a variety of options which can be specified via tsconfig.json, as CLI flags, as environment variables, or programmatically. -
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TTFviewer
TTFviewer is a small tool for developers to preview ttf font/icon file
TTFviewer is a small tool for developers to view and preview various ttf font/icon image formats. It is based on Qt and supports windows/linux/macos. -
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Onix OS
Onix
onix is a minimalist educational operating system written in Rust, created to demonstrate low-level system design in a safe and modern language. It covers kernel essentials such as interrupts, memory management, and multitasking, and includes a tiny Unix-like shell for user interaction. onix is tailored for x86_64 systems and runs in QEMU, making it ideal for learning OS internals while benefiting from Rust’s type safety and concurrency guarantees. It’s a great project for students or... -
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Spring Data R2DBC
Provide support to increase developer productivity in Java
...It makes it easier to build Spring-powered applications that use data access technologies.It aims at being conceptually easy. In order to achieve this it does NOT offer caching, lazy loading, write-behind or many other features of JPA. This makes Spring Data JDBC a simple, limited, opinionated ORM.
