Showing 321 open source projects for "+data flow"

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  • 1
    I3D models trained on Kinetics

    I3D models trained on Kinetics

    Convolutional neural network model for video classification

    ...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 both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs.
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  • 2
    monolingual-sentence-aligner

    monolingual-sentence-aligner

    Monolingual Sentence Aligner

    ...class Diff: represents a diff file. Its constructor processes a diff string and splits them into tokens, including sentence boundaries. class EditPair: represents an edit pair (an element in raw data array). - sentence_boundary.js: a wrapper for NPM sbd package with custom settings and fixing some output - process.js: The main entry, containing the general flow of processing. Please read Readme.md for more details. Github: https://github.com/nlpcl-lab/monolingual-sentence-aligner
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  • 3
    Highland

    Highland

    High-level streams library for Node.js and the browser

    Highland is a JavaScript library designed to simplify working with streams and asynchronous data flows by providing a functional programming interface on top of Node.js streams. It allows developers to process data in a declarative and composable way, treating streams as sequences that can be transformed using familiar functional patterns such as map, filter, reduce, and flatMap. The library abstracts away much of the complexity of handling backpressure and asynchronous callbacks, enabling...
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  • 4
    X-RAY

    X-RAY

    The next web scraper, see through the <html> noise

    ...Start on one page and move to the next easily. The flow is predictable, following a breadth-first crawl through each of the pages. X-ray has support for concurrency, throttles, delays, timeouts and limits to help you scrape any page responsibly. Swap in different scrapers depending on your needs. Currently supports HTTP and PhantomJS driver drivers. In the future, I'd like to see a Tor driver for requesting pages through the Tor network.
    Downloads: 2 This Week
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    Kamus

    Kamus

    An open source, git-ops, zero-trust secret encryption and decryption

    An open source, GitOps, zero-trust secrets encryption and decryption solution for Kubernetes applications. Kamus enables users to easily encrypt secrets that can be decrypted only by the application running on Kubernetes. The encryption is done using strong encryption providers (currently supported: Azure KeyVault, Google Cloud KMS, Amazon Web Services KMS, and AES).
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  • 6
    GoJay

    GoJay

    high performance JSON encoder/decoder with stream API for Golang

    ...I looked at other fast decoders/encoders and realized it was mostly hardly readable static code generation or a lot of reflection had poor streaming features and were not so fast in the end. Also, I wanted to build a decoder that could consume an io.Reader of line or comma delimited JSON, in a JIT way. To consume a flow of JSON objects from a TCP connection for example or from a standard output. The same way I wanted to build an encoder that could encode a flow of data to a io.Writer.
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  • 7

    dupost

    Dual Porosity Stokes model implemented with FEniCS

    A coupled dual porosity Stokes model implemented with FEniCS. References: 1. C. Douglas, X. Hu, B. Bai, X. He, M. Wei and J. Hou, "A Data Assimilation Enabled Model for Coupling Dual Porosity Flow with Free Flow," 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuxi, 2018, pp. 304-307. doi: 10.1109/DCABES.2018.00085 2. Hu X., Douglas C.C. (2019) An Implementation of a Coupled Dual-Porosity-Stokes Model with FEniCS. ...
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  • 8
     rims-arduino-library

    rims-arduino-library

    Recirculation infusion mash system library for Arduino

    This library implement RIMS controls for home brewers. For definition of a RIMS, see https://tinyurl.com/j3lyuyc For me, an Arduino micro controller + a LCD Keypad shield was cheaper and a lot more customizable than a commercial PID controller. So, with this library, a commercial PID controller is unnecessary. Automatic PID tuning toolkit is also included. Temperature can be read with a thermistor, a resistance temperature detector (RTD) or any custom temperature probe. Heater is...
    Downloads: 1 This Week
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  • 9
    Pipelines

    Pipelines

    An experimental programming language for data flow

    Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.
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  • 10

    Autologging

    Easier logging and tracing of Python functions and class methods.

    Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
    Downloads: 0 This Week
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  • 11
    MixItUp 3

    MixItUp 3

    Library for animated filtering, sorting, insertion, removal and more

    ...Targets can be filtered using any valid selector e.g. '.category-a', and are sorted via optional custom data attributes e.g. 'data-order'.
    Downloads: 2 This Week
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  • 12
    Command-line/Ant-task/embeddable text file preprocessor. Macros, flow control, expressions. Recursive directory processing. Extensible in Java to display data from any data sources (as database). Can generate complete homepages (tree of HTML-s, images, etc.)
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    Downloads: 77 This Week
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  • 13

    NanoGLADIATOR

    Real-time detection of copy number alterations from nanopore data.

    ...In "On-line" mode the tool must be launched simultaneously to a nanopore experiment so that, by exploiting the data flow generated during the sequencing process, it can perform real-time CNVs/CNAs detection. In "Off-line" mode Nano-GLADIATOR can be used to perform parallelized analysis of multiple runs at once for the identification of germline CNVs and somatic CNAs.
    Downloads: 0 This Week
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  • 14
    Learn Python the Hard Way

    Learn Python the Hard Way

    Concise study notes derived from “Learn Python the Hard Way”

    This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. Because the content is intentionally compact, it’s easy to revisit a topic quickly when...
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  • 15
    Easy Machine Learning

    Easy Machine Learning

    Easy Machine Learning is a general-purpose dataflow-based system

    ...In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants.
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  • 16
    Data/Document WF

    Data/Document WF

    Data/Document Work Flow application

    Data/Document Work Flow is a set of .NET C# libraries to build simple cross-platform information system: - DataWF.Common - collections, reflections, io and networks helpers - DataWF.Data - cross RDBMS ORM - DataWF.Gui - Xwt based desktop UI - DataWF.Data.Gui - Database desktop UI - DataWF.Module.Flow - Document work flow module - DataWF.Mudule.FlowGui - Configure, create, edit, send document throw the flow Sources: https://github.com/alexandrvslv/datawf
    Downloads: 0 This Week
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  • 17
    JPIV

    JPIV

    Particle Image Velocimetry

    JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/
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  • 18
    .... - Non-null data initialization, and live-out data dump. - Syntactic constructs to prevent any dead code elimination on the kernel. - Parametric loop bounds in the kernels, for general-purpose implementation. - Clear kernel marking, using pragma-based delimiters.
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    Downloads: 209 This Week
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  • 19
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. ...
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  • 20

    ParTools

    Support for manual parallelization of sequential C programs.

    ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time.
    Downloads: 3 This Week
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  • 21

    JILRuntime/JewelScript

    An object-oriented script language to embed in any application

    A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds....
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  • 22
    A Whirlwind Tour of Python

    A Whirlwind Tour of Python

    The Jupyter Notebooks behind my OReilly report

    A Whirlwind Tour of Python is a concise but fast-paced introduction to core Python concepts, created by Jake VanderPlas as a companion to his work in scientific computing and data science. It consists of a series of Jupyter notebooks that walk through syntax, semantics, control flow, data structures, functions, errors, iterators, list comprehensions, generators, modules, strings, regular expressions, and a short preview of data science tools. The material is aimed at people who already know how to program in another language and want to transition efficiently into idiomatic Python, particularly for research and analytical work. ...
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  • 23
    CvMob
    CvMob is an Open Source tool to automatic visual analysis of human movement. The software calculates the optical flow to generate data about trajectory, velocity and acceleration using low-quality videos. For more informations, please visit our website: http://www.cvmob.ufba.br/
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    Downloads: 6 This Week
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  • 24
    SSL Logger

    SSL Logger

    Decrypts and logs a process's SSL traffic

    ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. The utility is powered by dynamic instrumentation using the Frida framework, allowing it to intercept...
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  • 25

    Swift

    Selenium Hybrid Automation Framework with BDD tool Cucumber

    Mastek has successfully developed a highly configurable Hybrid Automation framework: “Swift” using Selenium tool that offers quick turnaround for Automation Suite Implementation with support of Keyword & Data Driven framework approach. The Automation regression suite can be created or modified using tester friendly keywords for modules, screens, and verifications, thereby ensuring a more effective and efficient Test automation process and better ROI through the complete application life...
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