Showing 765 open source projects for "python::module"

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  • 1
    StructPie

    StructPie

    A set of C libraries to implement data structures and algorithms

    ...While in "HashBSTree" directory, a hash table with a binary tree in each index is implemented for faster lookup in large data. The stack, the tree and the hash table accept int, float and char* data type To look at the python library : https://github.com/mnoorfawi/struct-pie
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  • 2
    SentEval

    SentEval

    A python tool for evaluating the quality of sentence embeddings

    SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic...
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  • 3
    SageMaker MXNet Training Toolkit

    SageMaker MXNet Training Toolkit

    Toolkit for running MXNet training scripts on SageMaker

    ...For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker compatible Docker containers, you can train and host models using these as well.
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  • 4
    PowerShellForGitHub

    PowerShellForGitHub

    Microsoft PowerShell wrapper for GitHub API

    PowerShellForGitHub is a PowerShell module that wraps the GitHub API, allowing administrators and developers to script common GitHub operations directly from the shell. It provides cmdlets for repository management, issue and pull request automation, organization and team administration, and policy tasks such as branch protection or collaborator invites. The module handles authentication flows, pagination, and rate-limit concerns transparently so scripts can focus on business logic like triage, bulk updates, or migration tasks. ...
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    NG6

    NG6

    An AngularJS Starter repo for AngularJS + ES6 + Webpack

    NG6 is a starter project for building single-page applications with AngularJS 1.x, modern ES6 JavaScript, and Webpack as the module bundler. It provides a minimal but opinionated boilerplate that shows best practices for structuring a scalable Angular app using a fully componentized file layout. The project wires together Webpack and Babel to handle ES6 transpilation, asset bundling, and hot reloading during development. Gulp is used as an orchestrator to run Webpack, start a development server, and generate Angular boilerplate via tasks. ...
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  • 6

    PyQDbf

    PySide QDbf

    PyQDbf PySide - QDbf Binding LGPL3 QDbf is Qt - DBF files https://github.com/IvanPinezhaninov/qdbf QDbf: Read or Write Dbf files, but not create new table PySide is Python Binding for Qt Libraries
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  • 7

    bluetroller

    A library and interface for controlling bluetooth LE devices

    bluetroller is a library and interface for controlling all kinds of bluetooth LE devices. A vast number of devices can be controlled via Bluetooth LE, including fitness trackers, lighting, camera sliders, gimbals and many more. Right now these devices can only be controlled via phone apps which are frequently buggy, unmaintained and will stop working after some future phone update. This project aims to grow to become an exhaustive library of these devices.
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  • 8
    Sparse Attention

    Sparse Attention

    "Generating Long Sequences with Sparse Transformers" examples

    Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. It highlights...
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  • 9
    Several language bindings for the FTDI D2XX driver used in FTDI's USB products. Currently supported languages are Python (pyd2xx), Java (jd2xx), CSharp (csd2xx) and LabVIEW (lvd2xx).
    Downloads: 0 This Week
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  • 10
    C3.js

    C3.js

    A D3-based reusable chart library

    C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into...
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  • 11
    Ansible Examples

    Ansible Examples

    A few starter examples of ansible playbooks, to show features

    This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be...
    Downloads: 1 This Week
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  • 12
    Higher

    Higher

    higher is a pytorch library

    higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so...
    Downloads: 2 This Week
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  • 13
    Forecasting Best Practices

    Forecasting Best Practices

    Time Series Forecasting Best Practices & Examples

    ...Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utilities around processing and featuring the data, optimizing and evaluating models, and scaling up to the cloud. The examples and best practices are provided as Python Jupyter notebooks and R markdown files and a library of utility functions.
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  • 14
    ebfformat

    ebfformat

    An Efficient Binary data Format

    EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. ...
    Downloads: 1 This Week
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  • 15
    AdaNet

    AdaNet

    Fast and flexible AutoML with learning guarantees

    AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each...
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  • 16
    Top Deep Learning Projects

    Top Deep Learning Projects

    A list of popular github projects related to deep learning

    TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly...
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  • 17
    The-Force

    The-Force

    Built with MVVM pattern, Koin , Coroutines + Flows

    An Android app consuming a Star Wars API to display Movie Characters it has been built with clean architecture principles, Repository Pattern and MVVM pattern as well as Architecture Components.
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  • 18
    Brand new cheatsheets and handouts

    Brand new cheatsheets and handouts

    Matplotlib 3.1 cheat sheet

    The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”...
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  • 19
    exchange-core java

    exchange-core java

    Ultra-fast matching engine written in Java based on LMAX Disruptor

    Exchange-core is an open source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Pipelined multi-core processing (based on LMAX Disruptor): each CPU core is responsible for certain processing stage, user accounts...
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  • 20
    PerfKit Benchmarker

    PerfKit Benchmarker

    PerfKit Benchmarker (PKB) contains a set of benchmarks

    PerfKitBenchmarker is an open-source benchmarking framework designed to measure and compare the performance of cloud infrastructure across multiple providers in a consistent and reproducible way. It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile...
    Downloads: 0 This Week
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  • 21
    SVG Explorer Extension

    SVG Explorer Extension

    Extension module for Windows Explorer to render SVG thumbnails

    The SVG Explorer Extension is a utility for Windows File Explorer that adds native thumbnail rendering and context-menu previews for SVG files. With this extension installed, Explorer will show scalable previews of .svg files just like image formats, enabling visual quick identification of vector files. The project also adds a “Preview in Windows Explorer” feature so users can see full-size SVGs in the side preview pane without launching an editor. It supports features like CSS-based...
    Downloads: 86 This Week
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  • 22
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
    Downloads: 0 This Week
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  • 23
    Alfred-Workflow

    Alfred-Workflow

    Full-featured library for writing Alfred 3 & 4 workflows

    Alfred-Workflow is a Python helper library for Alfred 2, 3 and 4 workflow authors, developed and hosted on GitHub. Alfred workflows typically take user input, fetch data from the Web or elsewhere, filter them and display results to the user. Alfred-Workflow takes care of a lot of the details for you, allowing you to concentrate your efforts on your workflow’s functionality.
    Downloads: 1 This Week
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  • 24
    Python Bible Reading Module

    Python Bible Reading Module

    Python Bible Reading Module is an open source python module.

    Python Bible Reading Module ( PBRM ) is an open source python module. It's designed in python 3, but should be compatible with python 2 . This module allows you to easily import different versions of the bible into your code.
    Downloads: 0 This Week
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  • 25
    API Correios

    API Correios

    API correios.com.br in Python

    pycorreios is a Python library aimed at interacting with Brazil’s postal service (Correios) APIs, making it easier for developers to track shipments, calculate postage, query service availability, and integrate with Brazilian e-commerce flows. The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes.
    Downloads: 0 This Week
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