Search Results for "bingo python code" - Page 11

Showing 1921 open source projects for "bingo python code"

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  • 1

    uvloop

    Ultra fast asyncio event loop

    uvloop is an ultra-fast, drop-in replacement of the built-in asyncio event loop. Together with asyncio and the power of async/await in Python 3.5, uvloop makes it easier than ever to write high-performance Python networking code. uvloop makes asyncio incredibly fast-- 2 to 4 times faster than nodejs, or any other Python asynchronous framework. The performance of asyncio when it is uvloop-based is almost comparable to that of Go programs. uvloop is written in Cython and is built on top...
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  • 2
    Prompt flow

    Prompt flow

    Build high-quality LLM apps

    Prompt flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.
    Downloads: 0 This Week
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  • 3
    Mara Pipelines

    Mara Pipelines

    A lightweight opinionated ETL framework, halfway between plain scripts

    This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data...
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  • 4
    amrlib

    amrlib

    A python library that makes AMR parsing, generation and visualization

    A python library that makes AMR parsing, generation and visualization simple. amrlib is a python module designed to make processing for Abstract Meaning Representation (AMR) simple by providing the following functions. Sentence to Graph (StoG) parsing to create AMR graphs from English sentences. Graph to Sentence (GtoS) generation for turning AMR graphs into English sentences. A QT-based GUI to facilitate the conversion of sentences to graphs and back to sentences. Methods to plot AMR graphs...
    Downloads: 0 This Week
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  • 5
    Optuna

    Optuna

    A hyperparameter optimization framework

    ... and tables. You don't need to create a Python script to call Optuna's visualization functions. Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code.
    Downloads: 0 This Week
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  • 6
    django-webpack-loader

    django-webpack-loader

    Transparently use webpack with django

    Use webpack to generate your static bundles without django's static files or opaque wrappers. Django webpack loader consumes the output generated by webpack-bundle-tracker and lets you use the generated bundles in Django. Test cases cover Django>=2.0 on Python>=3.5. 100% code coverage is the target so we can be sure everything works anytime. It should probably work on older versions of Django as well but the package does not ship any test cases for them. Before configuring django-webpack-loader...
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  • 7
    ML for Beginners

    ML for Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    ML-For-Beginners is a 12-week machine learning curriculum published by Microsoft. It contains 26 lessons, each with explanatory text, code examples, exercises, quizzes, and real-world datasets. The curriculum emphasizes classical (non-deep) machine learning techniques, using tools such as scikit-learn, and is structured in a project-based pedagogy where learners build ML models progressively.
    Downloads: 0 This Week
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  • 8
    TPOT

    TPOT

    A Python Automated Machine Learning tool that optimizes ML

    Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
    Downloads: 0 This Week
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  • 9
    Kubernetes Operator Pythonic Framework

    Kubernetes Operator Pythonic Framework

    A Python framework to write Kubernetes operators in just a few lines

    Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). The project was originally started as zalando-incubator/kopf in March 2019...
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  • 10
    Helium

    Helium

    Lighter web automation with Python

    Helium is a Python library built on top of Selenium to make browser automation more intuitive and human-friendly. It replaces verbose boilerplate code with natural language-like API calls such as click("Login") or write("hello", into="Name"). Helium manages browser setup, waits, and teardown, enabling quick development of scripts for testing, scraping, or task automation without requiring deep Selenium knowledge.
    Downloads: 0 This Week
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  • 11
    Hypothesis

    Hypothesis

    The property-based testing library for Python

    Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests.
    Downloads: 0 This Week
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  • 12
    Liger Kernel

    Liger Kernel

    Efficient Triton Kernels for LLM Training

    Liger Kernel is a unified kernel developed by LinkedIn to streamline data science and machine learning workflows across different languages and tools. It provides a consistent interface for running code in various languages (such as Python, R, SQL) within a single Jupyter-like environment, enhancing productivity and collaboration for data scientists working in mixed-language projects.
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  • 13
    Goose Developer Agent

    Goose Developer Agent

    Goose is a developer agent that operates from your command line

    Goose is a developer agent that supercharges your software development by automating an array of coding tasks directly within your terminal or IDE. Guided by you, it can intelligently assess your project's needs, generate the required code or modifications, and implement these changes on its own. Goose can interact with a multitude of tools via external APIs such as Jira, GitHub, Slack, infrastructure and data pipelines, and more -- if your task uses a shell command or can be carried out...
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  • 14
    AICodeBot

    AICodeBot

    AI-powered tool for developers, simplifying coding tasks

    AICodeBot is a terminal-based coding assistant designed to make your coding life easier. Think of it as your AI version of a pair programmer. Perform code reviews, create helpful commit messages, debug problems, and help you think through building new features. A team member that accelerates the pace of development and helps you write better code. We've planned to build out multiple different interfaces for interacting with AICodeBot. To start, it's a command-line tool that you can install...
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  • 15
    parallel-ssh

    parallel-ssh

    Asynchronous parallel SSH client library.

    parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways.
    Downloads: 0 This Week
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  • 16
    Coq Jupyter

    Coq Jupyter

    Jupyter kernel for Coq

    Make sure that CoqIDE (8.6 or newer) is installed and coqidetop or coqidetop.opt (coqtop for Coq versions before 8.9.0) is in your PATH. Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases.
    Downloads: 0 This Week
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  • 17
    omegaml

    omegaml

    MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

    omega|ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products. Works from laptop to cloud.
    Downloads: 0 This Week
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  • 18
    I hate money

    I hate money

    A simple shared budget manager web application

    I hate money is a web application made to ease shared budget management. It keeps track of who bought what, when, and for whom; and helps to settle the bills. I hate money is written in python, using the flask framework. It’s developed with ease of use in mind and is trying to keep things simple. Hope you (will) like it! The code is distributed under a BSD beerware derivative: if you meet the people in person and you want to pay them a craft beer, you are highly encouraged to do so.
    Downloads: 0 This Week
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  • 19
    Zeep

    Zeep

    A Python SOAP client

    A fast and modern Python SOAP client. Compatible with Python 3.7, 3.8, 3.9, 3.10, 3.11, and PyPy. Build on top of lxml and requests. Support for Soap 1.1, Soap 1.2 and HTTP bindings. Support for WS-Addressing headers. Support for WSSE (UserNameToken / x.509 signing) Support for asyncio via httpx. Experimental support for XOP messages. Zeep inspects the WSDL document and generates the corresponding code to use the services and types in the document. This provides an easy-to-use programmatic...
    Downloads: 0 This Week
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  • 20
    Ibis

    Ibis

    Expressive analytics in Python at any scale

    Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. All tables in Ibis are immutable. To select...
    Downloads: 0 This Week
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  • 21
    Full Stack FastAPI and PostgreSQL

    Full Stack FastAPI and PostgreSQL

    Full stack, modern web application generator

    Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic...
    Downloads: 0 This Week
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  • 22
    PandasAI

    PandasAI

    PandasAI is a Python library that integrates generative AI

    PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. It is designed to be used in conjunction with pandas, and is not a replacement for it. PandasAI makes pandas (and all the most used data analyst libraries) conversational, allowing you to ask questions to your data in natural language. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will return...
    Downloads: 0 This Week
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  • 23
    Ray

    Ray

    A unified framework for scalable computing

    Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best...
    Downloads: 0 This Week
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  • 24
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    Use NB-CLI to quickly build your own robot. Plug-in development, modular management. Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient...
    Downloads: 0 This Week
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  • 25
    Enferno

    Enferno

    Modern Flask framework optimized for AI-assisted development

    Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics.
    Downloads: 0 This Week
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