Accelerate end-to-end data science and machine learning pipelines using Python* tools and frameworks. End-to-End AI and Machine Learning Acceleration Python 3.9 Intel® Extension for PyTorch* (CPU) Intel Extension for PyTorch (GPU) Intel® Extension for TensorFlow* (CPU) Intel Extension for ...
Lasagne is a work-in-progress lightweight library for building and training neural nets in Theano. The deep learning library leverages a Python interface and provides support for architectures consisting of multiple inputs and multiple outputs. Using Lasagne doesn’t prohibit developers from using Thea...
In the microservice container, the cheminformatics toolkits RDKit and Open Babel are accessed natively using Python, while the Chemistry Development Kit (CDK) is integrated using JPype [28]. Cheminformatics Microservice consists of five modules, namely chem, convert, depict, ocsr, and tools. ...
But if you are using CPU-only then install basic MXNet as follows −pip install mxnet MXBoardMXBoard is logging tool, written in Python, that is used to record MXNet data frames and display in TensorBoard. In other words, the MXBoard is meant to follow the tensorboard-pytorch API. It ...
You can perform data science modelling and use implementation operations by using tools like Microsoft R server, Anaconda Python, Jupyter Notebooks for Python /2.x , R , SQL Server 2017, Azure ML workbench, Julia, F# SDK and so on. You can provision the Deep Learning V...
Specifically, using Munzner’s analytical framework [26], we analyzed each paper in terms of What elements of the urban environment are being visualized (i.e., data dimension); Why urban data is being analyzed (i.e., analytics dimension) and How urban data is being visualized (i.e., ...
In the following example, we are creating a 3D scatter plot using the "mpl_toolkits.mplot3d" toolkit. We use the scatter() function to plot points in a 3D space, where the "x", "y", and "z" lists represent the coordinates of the data points −import matplotlib.pyplot as plt ...
Pyethereum, for instance, is a core library with a command line interface for using Python to interact with the Ethereum chain. Developers who love Python and want to write their own smart contracts might also explore Vyper, a “security-focused” language for developing contracts that’s ...
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Accelerate end-to-end data science and machine learning pipelines using Python* tools and frameworks. End-to-End AI and Machine Learning Acceleration Python 3.9 Intel® Extension for PyTorch* (CPU) Intel Extension for PyTorch (GPU) Intel® Extension for TensorFlow* (CPU) Intel Extension for ...