Showing 4274 open source projects for "google-visualization-python"

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  • 1
    Kopf

    Kopf

    A Python framework to write Kubernetes operators

    Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).
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    Smart Algorithm

    Smart Algorithm

    Repository implementing a variety of intelligent algorithms

    Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. Immune Algorithm (or immune-inspired optimization) implementations. Multiple versions/language compatibility (Java, Python, MATLAB).
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  • 3
    Clay Golem

    Clay Golem

    Golem is creating a global market for computing power

    The Golem Network fosters a global group of creators building ambitious software solutions that will shape the technological landscape of future generations by accessing computing resources across the platform. Golem Network is an accessible, reliable, open access and censorship-resistant protocol, democratizing access to digital resources and connecting users through a flexible, open-source platform. With Golem Network, users can connect with ease and pay each other for sharing their unused...
    Downloads: 1 This Week
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  • 4
    The Neural Process Family

    The Neural Process Family

    This repository contains notebook implementations

    Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation.
    Downloads: 1 This Week
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    API Correios

    API Correios

    API correios.com.br in Python

    pycorreios is a Python library aimed at interacting with Brazil’s postal service (Correios) APIs, making it easier for developers to track shipments, calculate postage, query service availability, and integrate with Brazilian e-commerce flows. The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes.
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  • 6
    Tao3D

    Tao3D

    Tao3D is a programming language for real-time interactive 3D

    Tao3D is a programming language for real-time interactive 3D. It lets you easily create dynamic, interactive, data-rich presentations, small applications, user interface concepts, and more.
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  • 7
    SkyWater PDK

    SkyWater PDK

    Open source process design kit for usage with SkyWater Technology

    The SkyWater PDK is the first broadly available open-source process design kit for a commercial-grade CMOS node, enabling researchers, startups, and students to design real ASICs without proprietary NDAs. It provides the essential artifacts for digital and analog flows: SPICE models, DRC/LVS rules, extraction decks, and technology files for open tools like Magic and KLayout. Standard-cell libraries and IO pads are included so digital designers can use open synthesis and place-and-route to...
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  • 8
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    " Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including...
    Downloads: 7 This Week
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  • 9
    jekyll-course-website-template

    jekyll-course-website-template

    Feature-rich and easy-to-use Jekyll website template

    Feature-rich and easy-to-use Jekyll website template for academic courses. Individual page for assignments, lectures, course material, and course schedule. Auto-generated course updates section (for each new lecture and assignment) + custom/manual announcements.
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  • 10
    jsprit

    jsprit

    Open source toolkit for solving rich vehicle routing problems

    jsprit is a java based, open-source toolkit for solving rich Traveling Salesman Problems(TSP) and Vehicle Routing Problems(VRP). It is lightweight, flexible and easy-to-use, and based on a single all-purpose meta-heuristic. Setting up the problem, defining additional constraints, modifying the algorithms and visualizing the discovered solutions is as easy and handy as reading classical VRP instances to benchmark your algorithm. It is fit for change and extension due to its modular design and...
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  • 11
    javalang

    javalang

    Pure Python Java parser and tools

    javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec.
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  • 12
    MADDPG

    MADDPG

    Code for the MADDPG algorithm from a paper

    MADDPG (Multi-Agent Deep Deterministic Policy Gradient) is the official code release from OpenAI’s paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The repository implements a multi-agent reinforcement learning algorithm that extends DDPG to scenarios where multiple agents interact in shared environments. Each agent has its own policy, but training uses centralized critics conditioned on the observations and actions of all agents, enabling learning in...
    Downloads: 2 This Week
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  • 13
    Rickshaw

    Rickshaw

    JavaScript toolkit for creating interactive real-time graphs

    ...Customize all you like with techniques you already know. Rickshaw is free and open source, available under the MIT license. Developed at Shutterstock. Rickshaw relies on the fantastic D3 visualization library to do lots of the heavy lifting for stacking and rendering to SVG. Some extensions require jQuery and jQuery UI, but for drawing some basic graphs you'll be okay without. Rickshaw uses jsdom to run unit tests in Node to be able to do SVG manipulation. As of the jsdom 7.0.0 release, jsdom requires Node.js 4 or newer jsdom changelog.
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  • 14
    Laravel Boilerplate Project

    Laravel Boilerplate Project

    Laravel Boilerplate / Starter Kit with Gentelella Admin Theme

    Laravel Boilerplate provides a very flexible and extensible way of building your custom Laravel applications.
    Downloads: 0 This Week
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  • 15
    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. ...
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  • 16
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
    Downloads: 0 This Week
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  • 17
    Pinject

    Pinject

    A pythonic dependency injection library

    Pinject is a lightweight dependency-injection library for Python that favors explicit wiring and testability over magic. Instead of global singletons, you declare providers (bindings) that describe how to construct objects, and Pinject resolves the graph by inspecting call signatures. Its container supports constructor injection and fine-grained scoping so you can share expensive resources while keeping tests isolated.
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  • 18
    SageMaker Chainer Containers

    SageMaker Chainer Containers

    Docker container for running Chainer scripts to train and host Chainer

    ...Amazon SageMaker utilizes Docker containers to run all training jobs & inference endpoints. The Docker images are built from the Dockerfiles specified in Docker/. The Docker files are grouped based on Chainer version and separated based on Python version and processor type. The Docker images, used to run training & inference jobs, are built from both corresponding "base" and "final" Dockerfiles. The "base" Dockerfile encompasses the installation of the framework and all of the dependencies needed. All "final" Dockerfiles build images using base images that use the tagging scheme.
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  • 19
    web2py

    web2py

    Free and open source full-stack enterprise framework

    Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python (version 3 and 2.7). Everything you need in one package including fast multi-threaded web server, SQL database and web-based interface. No third-party dependencies but works with third-party tools. Create, modify, deploy and manage applications from anywhere using your browser. One web2py instance can run multiple web sites using different databases. ...
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  • 20
    TensorFlow Object Counting API

    TensorFlow Object Counting API

    The TensorFlow Object Counting API is an open source framework

    The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the...
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  • 21
    Overlord

    Overlord

    Providing automated and highly available caching service solutions

    ...Including apiserver, mesos framework&executor, cluster node task management job, etc. The web management interface, which is conveniently used for cluster management through dashboard visualization, including creation and deletion, expansion and contraction, addition and subtraction of nodes, etc. A data synchronization tool for redis-cluster, which can be serviced and work with apiserver.
    Downloads: 2 This Week
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  • 22
    Coronavirus Tracker API

    Coronavirus Tracker API

    API for tracking the global coronavirus (COVID-19, SARS-CoV-2)

    Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support multiple data sources. Specify source parameter with ?source=nyt. NYT also provides a timeseries! To view timelines of cases by US counties use ?source=nyt&timelines=true. Currently, 3 different data sources are available to retrieve the data. Worldwide Data repository operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). U.S....
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  • 23
    Zappa

    Zappa

    Serverless Python

    Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in.
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  • 24
    IfSharp

    IfSharp

    F# for Jupyter Notebooks

    F# for Jupyter Notebooks. This implements F# for Jupyter notebooks. View the Feature Notebook for some of the features that are included. There's a related project of .NET Interactive which was inspired by this one but a completely rethought approach with integrated package management, VS Code support, and variable sharing between languages. If you're moving to .NET Core support it's definitely worth checking out.
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  • 25

    Qt Creator Google Test plugin

    Qt Creator Google C++ Testing Framework integration plugin

    Simplifies usage of Google C++ Testing Framework in Qt Creator IDE. Source code can be found here: https://github.com/OneMoreGres/qtc-gtest IMPORTANT: plugin's version must match Qt Creator's version (difference in last digit is acceptable) Then plugin must be enabled in Help->Modules menu.
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