Search Results for "python software" - Page 74

Showing 3983 open source projects for "python software"

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  • 1
    setupjavax

    setupjavax

    Provides Java and integrated Jython/Pyhon + Java builds

    The ‘setupjavax‘ package provides extension modules for the build of Java and Jython packages. The current release supports the following commands, additional are coming soon: - build_java - Java build and packaging for Python. Supports Java packaging for Python projects, adds native Java modules for Jython. - build_jy - Integrated Python and Java builds for Jython. Supports combined Java and Python / Jython packaging. Calls build_py and build_java.
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  • 2
    yapydata

    yapydata

    Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties

    The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools.
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  • 3
    DevOps Bash Tools

    DevOps Bash Tools

    800+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs

    Scripts for many popular DevOps technologies, see Inventory below for more details. Advanced configs for common tools like Git, vim, screen, tmux, PostgreSQL psql etc. CI configs for most major Continuous Integration products (see CI builds page) CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other...
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  • 4
    yapyutils

    yapyutils

    Utilities for platform indepentent low-level system APIs.

    The 'yapyutils' - Yet Another Python Utils - package provides miscellaneous *Python* utilities for the adaptation of platform independent APIs of the low-level part of the software stack. These are e.g. used for extensions of the *setuptools* and *distutils*, thus reduce the package dependency and avoid circular dependencies whenever possible by using standard packages and classes only.
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  • 5

    Optimized Storage for temporal Data

    open Optimized Storage of time series data

    Beta version. Base class for optimized storage of time series data. Uses any kind of relational database. Cross plateform with multiple languages (C++, C#, Java). Conditional storage based on value variation : DeltaValue and DeltaTime params. Get back data without losts.
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  • 6
    setupdocx

    setupdocx

    Multidocument automation by templates - for sphinx, mkdocs, epydoc ...

    The ‘setupdocx‘ provides a control layer for continuous documentation by the simplified creation, packaging, and installation of documentation. The provided commands are distributed as entry points and optional base classes for further customization into 'setup.py' - setuptools / distutils. Manages arbitrary document templates for the supported builder, supports multiple builds with arbitrary document layouts, designs, and patched contents. The current release supports the following...
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  • 7
    setuplib

    setuplib

    Extensions for setuptools - detailed information on entry points

    The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group...
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  • 8
    setuplibcore

    setuplibcore

    Internal functions to avoid dependency issues

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  • 9
    setuptestx

    setuptestx

    Support of unit tests on multiple platforms and implementations.

    The 'setuptestx' supports a common call interface for the major implementations and releases of Python on various operating systems and their variants of distributions. The current provided implementations are: - CPython, IPython, PyPY : Python2.7, and Python3.5+ - IronPython, Jython : Python2.7 For the OS see *Tested Platforms* in the manuals.
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  • 10
    transformer

    transformer

    A TensorFlow Implementation of the Transformer

    Transformer is a TensorFlow implementation of the architecture introduced in the Attention Is All You Need paper. It was created as a readable and relatively modular reference for understanding and experimenting with Transformer-based machine translation. The updated implementation corrects issues involving masking, positional encoding, and other parts of the original code. It adds components such as byte-pair encoding and shared weight matrices. Training and evaluation are demonstrated with...
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  • 11
    namedtupledefs

    namedtupledefs

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
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  • 12
    namedtuplex

    namedtuplex

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
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  • 13
    namedtupledefs3

    namedtupledefs3

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python2 see namedtupledefs2.
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  • 14
    namedtupledefs2

    namedtupledefs2

    Pacthed namedtuple for field defaults.

    The namedtupledefs is a patched release of the standard collection.namedtuple with added support of default values for field. In addition a method _merge is supported for the combination of named tuples. For Python3 see namedtupledefs3 or namedtupledefs
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  • 15
    RoboSchool

    RoboSchool

    Open source software for robot simulation, integrated with OpenAI Gym

    Roboschool is a set of open source robot simulation environments for reinforcement learning, created as an alternative to the Mujoco physics engine. It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning...
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  • 16
    platformids

    platformids

    OS and Distribution Release Enumeration

    The ‘platformids‘ package provides the categorization and enumeration of OS platforms and distributions. This enables the development of portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The introduced hierarchical bitmask vectors enable for fast and efficient platform specific code and data selection for OS and distributions with routines for specific platform releases. The supported...
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  • 17
    hug

    hug

    Embrace the APIs of the future. For developing APIs

    hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API...
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  • 18
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The...
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  • 19
    AES Everywhere

    AES Everywhere

    Cross Language AES 256 Encryption Library

    AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt.
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  • 20
    I3D models trained on Kinetics

    I3D models trained on Kinetics

    Convolutional neural network model for video classification

    Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with...
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  • 21
    MLBox

    MLBox

    MLBox is a powerful Automated Machine Learning python library

    MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to...
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  • 22
    WALKOFF

    WALKOFF

    A flexible, easy to use, automation framework

    Faster, smarter, cheaper operations through automation. WALKOFF puts the tools in your hands to easily automate the tedious repetitive tasks dragging your operations down. Act smarter with WALKOFF by automatically gathering data, analyzing data, or visualizing data customized to your requirements. Act faster with WALKOFF by integrating the capabilities you already own to dynamically respond on your terms to your fast-moving environment. Drag and drop workflow editor. Sharable apps and...
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  • 23
    Light Bright in Python

    Light Bright in Python

    The classic toy reinvented in free software!

    ...Requires Python 3.7 and Pygame 1.9.6. These are FREE: Python Download: https://www.python.org/downloads/ Python/Pygame install YouTube tutorial: https://www.youtube.com/watch?v=AdUZArA-kZw
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  • 24
    Nebula docs

    Nebula docs

    Documentation repo of nebula orchestration system

    Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual...
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  • 25
    bristoSOFT Contacts

    bristoSOFT Contacts

    bristoSOFT Contacts is group oriented contact management software.

    bristoSOFT Contacts is a group oriented contact management software application written in Python, PyQt and PostgreSQL based on MVC software architecture. All contacts include email, telephone, address, title, name, company and also include notes, files, integrated google maps, activities such as phone calls, appointments, messaging, calendar. Contacts is a novel project with cutting edge technology.
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