Search Results for "python distributed list" - Page 14
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Showing 1036 open source projects for "python distributed list"
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LBRY SDK
The LBRY SDK for building decentralized content apps
...LBRY also provides a data network that consists of peers (seeders) uploading and downloading data from other peers, possibly in exchange for payments, as well as a distributed hash table used by peers to discover other peers. LBRY SDK for Python is currently the most fully featured implementation of the LBRY Network protocols and includes many useful components and tools for building decentralized applications. -
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CodeContests
Large dataset of coding contests designed for AI and ML model training
CodeContests, developed by Google DeepMind, is a large-scale competitive programming dataset designed for training and evaluating machine learning models on code generation and problem solving. This dataset played a central role in the development of AlphaCode, DeepMind’s model for solving programming problems at a human-competitive level, as published in Science. CodeContests aggregates problems and human-written solutions from multiple programming competition platforms, including AtCoder,... -
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Workalendar
Worldwide holidays and workdays computational toolkit
Worldwide holidays and workdays computational toolkit. Workalendar is a Python module that offers classes able to handle calendars, list legal/religious holidays and give working-day-related computation functions. This library is ready for production, although we may warn eventual users: some calendars may not be up-to-date, and this library doesn’t cover all the existing countries on earth (yet). -
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Petastorm
Petastorm library enables single machine or distributed training
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. Petastorm is an open-source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. ... -
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ImPromptu
Domain Agnostic Prompts for Savvy Professionals
A community-driven wiki of sorts full of your favorite prompts for various Large Language Models such as ChatGPT, GPT-3, MidJourney, and soon (Google's Bard) and more! Choose a subject area you are interested in, and click the link below to go to the page with prompts for that subject. If that page is empty, then you can help by adding prompts to that page. If you are not sure how to do that, you can read the contributing guidelines. If you are feeling like having your mind melt into magic... -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
...Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. As an illustration, the benchmark in the README of the most popular of them only features a random baseline, along with a greedy baseline that does not appear to be significantly stronger. -
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footswitch2
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 is a media player for transcribers on Linux. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a USB footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a footpedal/footswitch. Control of the media player from LibreOffice can be via Hotkeys or an integrated... -
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footswitch3
Audio Transcription software for Linux (Gstreamer) with a foot pedal
Footswitch 3 is a media player for transcribers on Linux. Written in python using the python bindings for Gstreamer it allows a transcriber to control the audio or video with a foot pedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal/foot switch. Control of the media player from LibreOffice can be via Hotkeys or an integrated... -
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TextBox
A text generation library with pre-trained language models github.com
...From a training perspective, we support 4 pre-training objectives and 4 efficient and robust training strategies, such as distributed data parallel and efficient generation. Compared with the previous version of TextBox, this extension mainly focuses on building a unified, flexible, and standardized framework for better supporting PLM-based text generation models. -
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footswitch2basic
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 (Basic) is a media player for transcribers on Linux. This version is a stripped down version of Footswitch2, containing only the absolute essentials for transcription. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do... -
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footswitch3basic
Audio Transcription software for Linux (Gstreamer) with a foot pedal
Footswitch3basic is a media player for transcribers on Linux. Written in python using the bindings for Gstreamer it allows a transcriber to control the audio or video with a foot pedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal/foot switch. Control of the media player from LibreOffice can be via Hotkeys or an integrated... -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce... -
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truckLog
Create and print a log for delivery stops.
New Version For Python 3 **This program requires a web server (such as Apache) and python3.x. ** TruckLog will generate a printable log that will show a line by line list of delivery stops to be made for any one truck load with space provided for signatures. Any amount of logs can be made for each day. The lines can be deleted or moved singly or in groups. -
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Tendermint
Tendermint Core (BFT Consensus) in Go
...We also maintain a dedicated mailing list for security updates. We will only ever use this mailing list to notify you of vulnerabilities and fixes in Tendermint Core. Tendermint uses Semantic Versioning to determine when and how the version changes. According to SemVer, anything in the public API can change at any time before version 1.0.0. -
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Plyer
Platform-independent Python wrapper for platform-dependent APIs
Plyer is a platform-independent Python API for accessing hardware features of various platforms (Android, iOS, macOS, Linux, and Windows). -
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DeepCTR
Package of deep-learning based CTR models
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based... -
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Tagbar
Vim plugin that displays tags in a window
...This gives you at-a-glance insight into the layout of large source files, which is especially useful for navigating unfamiliar codebases or when working on complex modules. The Tagbar sidebar also allows direct navigation: you can click on or jump to specific tags from the list, which makes it much faster to move between definitions than manually searching. Because it uses an external tags generation tool, the plugin can support many languages (C++, Java, Python, etc) with varying degrees of induction based on the tags file. Many users report that Tagbar significantly reduces the time they spend hunting for definitions. -
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Automatic text summarizer
Module for automatic summarization of text documents and HTML pages
Sumy is an automatic text summarization library that provides multiple algorithms for extracting key content from documents and articles. Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains a simple evaluation framework for text summaries. Implemented summarization methods are described in the documentation. I also maintain a list of alternative implementations of the summarizers in various programming languages. -
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Elephas
Distributed Deep learning with Keras & Spark
Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications. Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras, thereby allowing for fast prototyping of distributed models, which can be run on massive data sets. Elephas implements a class of data-parallel algorithms on top of Keras, using Spark's RDDs and data frames. Keras... -
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
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opsi
open source client management system, software deployment
opsi is a Client Management System for Windows and Linux clients based on Linux servers. opsi is used for automatic OS installation, software depolyment, hard- and software inventory, distributed software depots. -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time... -
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ceph-ansible
Ansible playbooks to deploy Ceph, the distributed filesystem
Ansible playbooks for Ceph, the distributed filesystem. This project assumes you have a basic knowledge of how Ansible works and have already prepared your hosts for configuration by Ansible. After you’ve cloned the ceph-ansible repository, selected your branch and installed Ansible then you’ll need to create your inventory file, playbook and configuration for your Ceph cluster. The Ansible inventory file defines the hosts in your cluster and what roles each host plays in your Ceph cluster.... -
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AutoScraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages.
