Showing 72 open source projects for "space"

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  • 1
    Yangshun Lago

    Yangshun Lago

    Data Structures and Algorithms library in TypeScript and JavaScript

    ...Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line.
    Downloads: 0 This Week
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  • 2
    Polly

    Polly

    A .NET resilience and transient-fault-handling library for policies

    Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+. Today's cloud application, mobile, data-streaming, and IoT technologies all depend vitally on reliable connectivity. But underlying systems can fail, and networks are notoriously fickle, outages, latency, transient...
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  • 3
    Riot

    Riot

    Simple and elegant component-based UI library

    Why do we need a new UI library? The frontend space is indeed crowded, but we honestly feel the solution is still “out there”. We believe Riot.js offers the right balance for solving the great puzzle. Riot.js brings custom elements to all modern browsers without the use of any polyfill! A custom element glues relevant HTML and JavaScript together forming a reusable component. It is designed to offer you everything you wished native the web components API looked like.
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  • 4
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within...
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  • 5
    Hasktorch

    Hasktorch

    Tensors and neural networks in Haskell

    ...It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions. Contributions/PR are encouraged. Hasktorch is a library for tensors and neural networks in Haskell. It is an independent open source community project which leverages the core C++ libraries shared by PyTorch.
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  • 6
    libusb

    libusb

    A cross-platform library that gives apps easy access to USB devices

    Library to enable user space application programs to communicate with USB devices
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    Downloads: 3,144 This Week
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  • 7
    LibSecRm - Secure Removal Library

    LibSecRm - Secure Removal Library

    A library for secure deleting data on-the-fly

    ...To wipe data that was left on the drive by using "normal" delete operations, you can take a look at WipeFreeSpace (https://wipefreespace.sourceforge.io), which wipes the space used by files marked as deleted (and other things, too).
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  • 8
    Classnames

    Classnames

    A simple javascript utility for conditionally joining classNames

    Classnames is a minimal JavaScript utility that helps you construct CSS class strings based on conditional logic. Instead of manually concatenating strings, developers can pass any combination of strings, arrays, or objects, and the library will output a clean, space-separated class list. When you provide an object, the keys represent class names and the boolean values determine whether each class should be included in the final string. This reduces boilerplate and the risk of typos or stray spaces, especially in React, Vue, or other component-based UIs where dynamic styling is common. The utility is small and framework-agnostic, so it can be used in Node, browser code, or any bundler setup including Browserify and Webpack. ...
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  • 9
    eCxx

    eCxx

    A C++ library for AVR and NodeMCU

    NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original...
    Downloads: 1 This Week
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  • 10
    iJEPA

    iJEPA

    Official codebase for I-JEPA

    ...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most.
    Downloads: 0 This Week
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  • 11
    fastMRI

    fastMRI

    A large open dataset + tools to speed up MRI scans using ML

    fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data...
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  • 12
    relude

    relude

    Safe, performant, user-friendly and lightweight Haskell library

    relude is a safe, performant, user-friendly and lightweight Haskell standard library. The default Prelude is not perfect and doesn’t always satisfy one’s needs. At this stage, you may want to try an alternative prelude library. relude has some strong goals and principles that it sticks to. That principles define the library's decisions and might tell you more about the priorities of the library. You can be more productive with a “non-standard” standard library, and relude helps you with...
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  • 13
    Moelnir

    Moelnir

    Heap organised database service (Java library)

    Moelnir is a basic database file, addressing variable record data through integer identifiers, which applies heap organisation of its data space. Advantage of Moelnir is that each record is stored in a continuous segment on the file while still record size is limit-less variable and modifiable. There are no data length limits other than the range of a 63-bit unsigned integer. Scalability is limited to 1 - 10 Mio. entries due to non-paging internal structures.
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  • 14
    Issues for GitHub

    Issues for GitHub

    Just a place to track issues and feature requests

    ...The project was used by its author to collect feedback, bug reports, and enhancement ideas in a centralized public location. It is explicitly not the source code for GitHub itself and serves more as a community discussion space. Over time, the repository became read only and deprecated as official feedback channels evolved. Despite its simplicity, it reflects an open source oriented approach to tracking platform friction points. Developers browsing the repository can explore historical requests and community discussions about GitHub usability. Overall, the repository functions as a meta level feedback log rather than an executable software project.
    Downloads: 0 This Week
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  • 15
    Nerfies

    Nerfies

    This is the code for Deformable Neural Radiance Fields

    Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting. The training pipeline handles imperfect captures by modeling camera poses, exposure variations, and background segmentation, producing stable geometry and appearance. ...
    Downloads: 0 This Week
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  • 16
    Minkowski Engine

    Minkowski Engine

    Auto-diff neural network library for high-dimensional sparse tensors

    ...Compressing a neural network to speed up inference and minimize memory footprint has been studied widely. One of the popular techniques for model compression is pruning the weights in convnets, is also known as sparse convolutional networks. Such parameter-space sparsity used for model compression compresses networks that operate on dense tensors and all intermediate activations of these networks are also dense tensors.
    Downloads: 0 This Week
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  • 17
    Brain AutoML

    Brain AutoML

    Google Brain AutoML

    This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations.
    Downloads: 0 This Week
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  • 18
    Euler

    Euler

    A distributed graph deep learning framework.

    As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.
    Downloads: 0 This Week
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  • 19

    Wheefun Emulator Framework

    A framework for developing emulators

    The Wheefun Emulator Framework (WFEF) aims to provide low-level hardware emulation primitives for writing new emulators, as well as relatively basic implementations for common system architectures (such as the IBM compatible PC). It was originally designed to support the WDMF project, which has need for hardware emulation on modern operating systems. However, it could conceivably be used in other projects. At its core, WFEF provides primitives for emulating a generic system bus and for...
    Downloads: 0 This Week
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  • 20
    Mousetrap

    Mousetrap

    Simple library for handling keyboard shortcuts in Javascript

    ...Mousetrap 1.4 introduced a generic mod helper which lets you set cross platform shortcuts. The sequence of keys feature was inspired by Gmail. Any keys separated by a space will be considered a sequence. If you type each key in order the final one in the sequence will trigger the callback. If you type a key not in the sequence or wait too long the sequence will reset. You can also make a sequence that includes key combinations within it.
    Downloads: 0 This Week
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  • 21
    AeroPython

    AeroPython

    Classical Aerodynamics of potential flow using Python

    ...In Spring 2015, we revised and extended the collection, adding student assignments to strengthen the learning experience. The course is also supported by an open learning space in the GW SEAS Open edX platform.
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  • 22
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. ...
    Downloads: 0 This Week
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  • 23
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    ...This repository implements mixup for the CIFAR-10 dataset, showcasing its effectiveness in improving generalization, stability, and calibration of neural networks. The approach acts as a regularizer, encouraging linear behavior in the feature space between samples, which helps reduce overfitting and enhance performance on unseen data.
    Downloads: 1 This Week
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  • 24
    Masonry

    Masonry

    A cascading grid layout plugin

    Masonry is a JavaScript grid layout library. It works by placing elements in optimal position based on available vertical space, sort of like a mason fitting stones in a wall. You’ve probably seen it in use all over the Internet. All sizing and styling of items is handled by your own CSS. tem sizes can be set with percentages for responsive layouts. With the masonry layout mode, set percentage-width columnWidth with element sizing. Set percentPosition: true so item positions are likewise set with percentages to reduce adjustment transitions on window resize. ...
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  • 25
    Matlab/Octave Rotations Library

    Matlab/Octave Rotations Library

    Library for working with 3D rotations in Matlab/Octave

    The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation and much more have been implemented for each rotation representation. ...
    Downloads: 0 This Week
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