Search Results for "w-root"
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Showing 9 open source projects for "w-root"
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
...We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations. -
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Amazon Braket Python Schemas
A library that contains schemas for Amazon Braket
...The preferred way to get Amazon Braket Python Schemas is by installing the Amazon Braket Python SDK, which will pull in the schemas. You can install from source by cloning this repository and running a pip install command in the root directory of the repository. There are currently two types of IR, including jaqcd (JsonAwsQuantumCircuitDescription) and annealing. -
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
...The mlio package is only available through conda at the moment. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. For unit tests, tox will use pytest to run the unit tests in a Python 3.7 interpreter. tox will also run flake8 and pylint for style checks. -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
...The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to speed up inference and minimize memory footprint has been studied widely. One of the popular techniques for model compression is pruning the weights in convnets, is also known as sparse convolutional networks. Such parameter-space sparsity used for model compression compresses networks that operate on dense tensors and all intermediate activations of these networks are also dense tensors. -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a... -
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PyGObject for Windows
All-In-One PyGI/PyGObject for Windows Installer
Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit. -
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mds-utils
General purpose utilities for C++ and Python developers
...Now access in write mode is supported too. More details on the Doxygen documentation. Documentation is available through doxygen. Once downloaded and uncompressed, issue the "doxygen" command from the root folder. The documentation will be into "doc/html". An online version of this documentation is available at the link here below (mds-utils Web Site). -
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vsResolver
DNS Validating Stub Resolver
The Validating Stub Resolver (vsResolver) is a DNS stub resolver that implements the Domain Name System Security Extensions (DNSSEC) specified in RFC 4033, RFC 4034 and RFC 4035. These add data origin authentication and data integrity to the Domain Name System. vsResolver extends the dnspython toolkit (http://www.dnspython.org/) and uses the pycrypto library for its underlying crypto implementation(https://www.dlitz.net/software/pycrypto/). Click on this link for a ridiculously simple... -
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CTypes-based python bindings to the GSASL library (www.gnu.org/software/gsasl ). This package provides a parser that generates python code w/ types checking and more pythonish feel than just plain usage of the library through ctypes.
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