Showing 2 open source projects for "without code"

View related business solutions
  • Simplify Purchasing For Your Business Icon
    Simplify Purchasing For Your Business

    Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.

    Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
    Learn More
  • Premier Construction Software Icon
    Premier Construction Software

    Premier is a global leader in financial construction ERP software.

    Rated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
    Learn More
  • 1
    refactoring.nvim

    refactoring.nvim

    The Refactoring library based off the Refactoring book

    refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    ResNeXt

    ResNeXt

    Implementation of a classification framework

    ...Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB