Showing 4 open source projects for "structured text"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • 1
    nui.nvim

    nui.nvim

    UI Component Library for Neovim

    UI Component Library for Neovim.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Databend

    Databend

    Cloud-native open source data warehouse for analytics and AI queries

    Databend is an open source cloud-native data warehouse designed for large-scale analytics and modern data workloads. Built in Rust, the system focuses on high performance, scalability, and efficient data processing for analytical queries. It is designed with a separation of compute and storage, allowing compute nodes to scale independently while storing data in object storage systems. This architecture enables cost-efficient storage and elastic scaling for workloads that involve large...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Neorg

    Neorg

    Modernity meets insane extensibility

    ...The file format is built to be expressive and easy to parse, which also makes .norg files easily usable anywhere outside of Neorg itself. A good way of thinking about Neorg is as a plaintext environment that can be adapted to a variety of use cases. If a problem can be represented using raw text, it can be solved using Neorg.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    torch-rnn

    torch-rnn

    Efficient, reusable RNNs and LSTMs for torch

    The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing data, training models, and sampling outputs. It includes tools for handling datasets, converting text into structured formats, and managing checkpoints during training. By leveraging Torch’s modular design, the project allows users to experiment with different architectures and hyperparameters with minimal overhead. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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.
    Start Free
  • Previous
  • You're on page 1
  • Next