Showing 2 open source projects for "design analysis algorithm"

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  • Power through agendas and documents, make more informed decisions and conduct board meetings faster. Icon
    Power through agendas and documents, make more informed decisions and conduct board meetings faster.

    For team managers searching for a solution to manage their meetings

    iBabs not only captures the entire decision-making process – it takes all the paperwork out of meetings. iBabs empowers everyone who has ever organized or attended, a meeting. With a seemingly simple app that offers complete control and a comprehensive overview of all those fiddly details. With about 3000 organizations and over 300,000 users, iBabs gives you peace of mind. So you can quickly organize effective meetings, and good decisions can be made with confidence. iBabs didn’t just happen overnight. We started analyzing and simplifying board meeting processes many years ago. We understand all the work that goes into meetings, and how to streamline everything so it all flows smoothly. On any device, confidentially, securely and automatically. Make good decisions with confidence.
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  • Apify is a full-stack web scraping and automation platform helping anyone get value from the web. Icon
    Apify is a full-stack web scraping and automation platform helping anyone get value from the web.

    Get web data. Build automations.

    Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
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  • 1
    SLM Lab

    SLM Lab

    Modular Deep Reinforcement Learning framework in PyTorch

    SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently.
    Downloads: 1 This Week
    Last Update:
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  • 2
    PARL

    PARL

    A high-performance distributed training framework

    PARL is a scalable reinforcement learning framework built on top of PaddlePaddle. It focuses on modularity and ease of use, supporting distributed training and a variety of RL algorithms.
    Downloads: 0 This Week
    Last Update:
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