Search Results for "bingo python code" - Page 35

Showing 2062 open source projects for "bingo python code"

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  • 1
    Tabnine

    Tabnine

    Vim client for TabNine

    Tabnine is an AI-powered code completion extension trusted by millions of developers around the world. Whether you’re just getting started as a developer or if you’ve been doing it for decades, Tabnine will help you code twice as fast with half the keystrokes – all in your favorite IDE. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or content...
    Downloads: 14 This Week
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  • 2
    MassMove PACS Migrations v0.2 Tool Frank Koeberlein 2021 for High Performance PACS Migration. Tested on 6 TB PACS Server. In c-move Mode Fin in 5 days. AE Title in Source PACS from mvDest must be registered in c-move mode. No License, feel free :-) # Unzip File, change dir to MassMove. # Change in Source Code your Parameters. # Start with: # python MassMove-PACSMigration-Tool.py # # # Edit all Parameter in Source Code. # Set max Threads in maxThr # # # Update v0.2 # add error...
    Downloads: 0 This Week
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  • 3

    Marathi MTLD tool (for GNU/Linux)

    A tool for measuring MTLD score of Marathi-Devanagari text

    ... as an input text and returns the output on the program window itself. The source code and user manual of the Marathi MTLD tool can be accessed from https://gitlab.com/priyankaD3/mr-mtld. For Windows, the executable file is available at https://sourceforge.net/projects/mr-mtld-windows
    Downloads: 0 This Week
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  • 4
    BudgetML

    BudgetML

    Deploy a ML inference service on a budget in 10 lines of code

    Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn...
    Downloads: 0 This Week
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  • 5
    TOML

    TOML

    Tom Preston-Werner's obvious, minimal language

    ..., making them easy to code for or parse with machines. TOML and YAML both emphasize human readability features, like comments that make it easier to understand the purpose of a given line. TOML differs in combining these, allowing comments (unlike JSON) but preserving simplicity (unlike YAML). Because TOML is explicitly intended as a configuration file format, parsing it is easy, but it is not intended for serializing arbitrary data structures.
    Downloads: 6 This Week
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  • 6

    Open Grid Analysis and Display System

    OpenGrADS provides extensions and interfaces for GrADS.

    The Grid Analysis and Display System (GrADS) is an interactive desktop tool for easy access, manipulation, and visualization of earth science data. The OpenGrADS Project seeks to develop advanced interfaces and extensions based on the main GrADS engine.
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    Downloads: 354 This Week
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  • 7
    wordle

    wordle

    Create a wordcloud for a Git repository

    Create a wordcloud for a Git repository. Can also create wordclouds from directories of source files or a single source file. wordle uses tox to automate testing and packaging, and pre-commit to maintain code quality. Tests are run with tox and pytest. To run tests for a specific Python version, such as Python 3.6. The documentation is powered by Sphinx. A local copy of the documentation can be built with tox. Type annotations are checked using mypy. Run mypy using tox.
    Downloads: 0 This Week
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  • 8
    TensorLayer

    TensorLayer

    Deep learning and reinforcement learning library for scientists

    ... supports TensorFlow, MindSpore and PaddlePaddle (partial) as the backends, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend. In the future, it will support TensorFlow, MindSpore, PaddlePaddle, PyTorch and other backends. TensorLayer has a high-level layer/model abstraction which is effortless to learn. You can learn how deep learning can benefit your AI tasks in minutes through the massive examples.
    Downloads: 1 This Week
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  • 9
    peda

    peda

    Python Exploit Development Assistance for GDB

    Enhance the display of gdb: colorize and display disassembly codes, registers, memory information during debugging. Add commands to support debugging and exploit development (for a full list of commands use peda help). Display arguments passed to a function when stopped at a call instruction. Search for all addresses/references to addresses which belong to a memory range. Generate or download common shellcodes. Generate python exploit code template. Get virtual mapping address ranges of section...
    Downloads: 0 This Week
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  • 10

    HomeTabs

    HomeTabs project helps you to organize bookmarks for web browsers

    HomeTabs project helps you to organize bookmarks for web browsers (like a standart browser's home page, but cooler and more comfortable). Design of HomeTabs was inspiried by Mozilla Firefox startpage, i think this is the best way to organise bookmarks, but history of browsing saved on homepage - is bad idea. GitHub: https://github.com/grildroid/HomeTabs Discord: https://discord.gg/6ZGDgFjDVm
    Downloads: 0 This Week
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  • 11
    transferlearning-tutorial

    transferlearning-tutorial

    Tutorial on applied transfer learning

    A bilingual (English/Chinese) concise tutorial on applied transfer learning, hosted by Jindong Wang. It includes LaTeX source for a compact handbook covering theory, algorithms, surveys, and code in MATLAB and Python.
    Downloads: 3 This Week
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  • 12
    Nebula-Python-SDK

    Nebula-Python-SDK

    A python SDK for managing Nebula container orchestrator

    A python SDK for managing Nebula container orchestrator. First, get NebulaPythonSDK onto your machine, now use it in your code. Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free...
    Downloads: 0 This Week
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  • 13
    molten

    molten

    A minimal, extensible, fast and productive framework

    molten is a minimal, extensible, fast and productive framework for building HTTP APIs with Python. molten can automatically validate requests according to predefined schemas, ensuring that your handlers only ever run if given valid input. Schemas are PEP484-compatible, which means mypy and molten go hand-in-hand, making your code more easy to maintain. Schema instances are automatically serializable and you can pick and choose which fields to exclude from responses and requests. Write clean...
    Downloads: 1 This Week
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  • 14
    Awesome AI-ML-DL

    Awesome AI-ML-DL

    Awesome Artificial Intelligence, Machine Learning and Deep Learning

    Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community.
    Downloads: 0 This Week
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  • 15
    PlaystoreDownloader

    PlaystoreDownloader

    A command line tool to download Android applications

    ... or by using directly the source code in a Python 3 environment. In both cases, the first thing to do is to get a local copy of this repository, so open up a terminal in the directory where you want to save the project and clone the repository. Apart from valid Google Play Store credentials, the only requirement of this project is a working Python 3 (at least 3.7) installation and pipenv (for dependency management).
    Downloads: 1 This Week
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  • 16
    Kalman and Bayesian Filters in Python

    Kalman and Bayesian Filters in Python

    Kalman Filter book using Jupyter Notebook

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn? This book teaches you how to solve...
    Downloads: 0 This Week
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  • 17
    STManager

    STManager

    manage assortment in your company

    STManager lets you manage photos of your products. When the right information is needed, then it lets you quickly search for the right product you are looking for. Application designed to help with managing for example postal packages, where each product is very distinct for one another. For source code and more insides of this project, please visit github page: https://github.com/michalwilk123/STManager Name STManager is derived from old name: "Stocktake Manager".
    Downloads: 1 This Week
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  • 18
    DeepMind Lab

    DeepMind Lab

    A customizable 3D platform for agent-based AI research

    .... To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent.
    Downloads: 0 This Week
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  • 19
    Deep Exemplar-based Video Colorization

    Deep Exemplar-based Video Colorization

    The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"

    The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation errors...
    Downloads: 0 This Week
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  • 20
    Lambda Networks

    Lambda Networks

    Implementation of LambdaNetworks, a new approach to image recognition

    Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately. Shinel94 has added a Keras implementation! It won't be officially supported in this repository, so either copy / paste the code under ./lambda_networks/tfkeras.py or make sure to install tensorflow and keras before...
    Downloads: 0 This Week
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  • 21
    joy2key

    joy2key

    Steer in GTBikeV with any unsupported joystick

    Map joystick buttons to keyboard keys, to steer in GTBikeV with any (unsupported) joystick. Uses Python Windows joystick API and sample code from How to generate keyboard events in Python? If your joystick has an analog stick you may prefer using x360ce for steering. You can still use joy2key to enable/disable auto drive and change radio station, just leave buttons 3 and 4 unmapped in x360ce.
    Downloads: 9 This Week
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  • 22
    GIMP ML

    GIMP ML

    AI for GNU Image Manipulation Program

    This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images...
    Downloads: 11 This Week
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  • 23
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural...
    Downloads: 0 This Week
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  • 24

    Simple AutoClicker

    Simple autoclicker Clicker Autoclicker Sourceforge autoclicker Simple

    Simple AutoClicker is a very simple autoclicker made with python. if you want to get the code for it to make your own, email vengiedevtqb@gmail.com.
    Downloads: 5 This Week
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  • 25
    fastNLP

    fastNLP

    fastNLP: A Modularized and Extensible NLP Framework

    fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models...
    Downloads: 0 This Week
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