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            About
            JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. 
             
            
        
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            About
            Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
             
            
        
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            About
            Bootstrap your application with beautiful Material Design components. React Toolbox is a set of React components that implements Google Material Design specification. It's built on top of some of the trendiest proposals like CSS Modules (written in SASS), Webpack, and ES6. The library harmoniously integrates with your Webpack workflow and it's easily customizable and very flexible. Check our awesome documentation (which is built using React Toolbox) and try all the components with live examples. We've created a playground so you don't need to install anything to fall in love with our components, so fun! The app bar is a special kind of toolbar that’s used for branding, navigation, search, and actions. Usually, it contains controls on the right and left side and a title with the current section or app name. You should give the content with children elements. Consists of text, an image, or both, designed in accordance with your app’s color theme.
             
            
        
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        Audience
        Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python
         
        
    
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        Component Library solution for DevOps teams
         
        
    
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        Designers in search of a solution to bootstrap their applications with Material Design components
         
        
    
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        Company InformationJAX 
    
    United States 
    docs.jax.dev/en/latest/ 
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        Company InformationNumPy 
    
    
    numpy.org 
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        Company InformationReact Toolbox 
    
    
    react-toolbox.io 
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