Showing 56 open source projects for "uc browser for linux"

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  • Shoplogix Smart Factory Platform Icon
    Shoplogix Smart Factory Platform

    For manufacturers looking for a powerful Manufacturing Execution solution

    Real-time Visibility into Your Shop Floor's Performance. The Shoplogix smart factory platform enables manufacturers to increase overall equipment effectiveness, reduce operational costs, sustain growth and improve profitability by allowing them to visualize, integrate and act on production and machine performance in real-time. Manufacturers that trust us to drive efficiency in their factories. Real-time visual data and analytics provide valuable insights to make better informed decisions. Uncover hidden shop floor potential and drive rapid time to value. Develop a continuously improving culture through training, education and data-driven decisions. Compete in the i4.0 world by making the Shoplogix Smart Factory Platform the cornerstone of your digital transformation. Connect to any equipment or device to automate data collection and exchange it with other manufacturing technologies. Automatically monitor, report and analyze machine states to track real-time production.
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  • Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers. Icon
    Paladin Point of Sale is a powerful retail management system designed to simplify daily store operations for independent retailers.

    It enables businesses to sell from anywhere using mobile point-of-sale tools while also providing a ready-built online store for seamless omnichannel

    Paladin Point of Sale is ideal for independent retailers in hardware, lumber, pharmacy, and specialty retail industries seeking an easy-to-use, industry-specific POS system with strong support and flexibility.
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  • 1
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)...
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  • 2
    ChainerRL

    ChainerRL

    ChainerRL is a deep reinforcement learning library

    ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments...
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  • 3
    SSD

    SSD

    A PyTorch Implementation of Single Shot MultiBox Detector

    SSD is a PyTorch implementation of the Single Shot MultiBox Detector, a well-known object detection architecture introduced in the original SSD paper. It is built to help users train, evaluate, and experiment with object detection models using PyTorch rather than the original Caffe implementation. The repository includes the major components needed for an object detection workflow, including training scripts, evaluation scripts, demos, and utility modules. It supports commonly used benchmark...
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  • 4
    howmanypeoplearearound

    howmanypeoplearearound

    Count the number of people around you by monitoring wifi signals

    howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include, monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc. There are a number of possible USB WiFi adapters that support monitor...
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  • Runn is a modern resource and capacity planning platform that gets remote teams on the same page. Icon
    Runn is a modern resource and capacity planning platform that gets remote teams on the same page.

    Runn is best suited for project managers, operations leads, resourcing managers and other people responsible for project delivery.

    Runn has a modern and easy-to-use interface that provides your team with a shared view of all the people and projects in your organization. Plan new work alongside existing projects and instantly see how changes to your plans and resourcing affect your company’s bottom line. Runn is intuitive to use and lets you quickly schedule work using simple drag and drop functionality. Runn also allows you to collaborate with your co-workers in real-time, seeing updates live without having to refresh your browser. Runn combines resource and capacity planning with integrated actual tracking and powerful forecasting to deliver meaningful insights and a full picture of your organization.
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  • 5
    DIGITS

    DIGITS

    Deep Learning GPU training system

    The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting...
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  • 6
    Universe Starter Agent

    Universe Starter Agent

    A starter agent that can solve a number of universe environments

    The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements...
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