Showing 2 open source projects for "how to update"

View related business solutions
  • 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
  • Earn up to 16% annual interest with Nexo. Icon
    Earn up to 16% annual interest with Nexo.

    Let your crypto work for you

    Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
    Get started with Nexo.
  • 1
    OpenCommit

    OpenCommit

    AI tool that automatically generates meaningful Git commit messages

    OpenCommit is an open source developer tool that automatically generates meaningful Git commit messages using large language models. It analyzes the staged changes in a repository and produces a descriptive commit message in seconds, helping developers avoid vague messages such as “fix” or “update.” OpenCommit can be used as a command-line utility that replaces the traditional Git commit command, allowing developers to commit changes with a generated message instantly. It supports multiple AI providers, including popular language models as well as locally hosted models, giving teams flexibility in how the messages are generated. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    neurojs

    neurojs

    A JavaScript deep learning and reinforcement learning library

    ...The framework supports neural network architectures and reinforcement learning methods such as deep Q-networks and actor-critic algorithms. Several interactive demonstrations included with the project illustrate how neural networks can be used to train agents in simulated tasks, including a browser-based self-driving car example. These demos allow users to visualize how reinforcement learning agents improve their behavior over time as they receive rewards and update their neural networks.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB