Showing 133 open source projects for "scikit-learn"

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  • 1
    engineering-management

    engineering-management

    A collection of inspiring resources related to engineering management

    ...The materials span topics like one-on-ones, feedback, hiring, performance reviews, culture, strategy, and remote work. The maintainer highlights articles that are short, concrete, and packed with actionable ideas, making it easier for busy managers to learn without wading through entire books first. Many entries come from experienced leaders sharing hard-won lessons, so the list doubles as a mentorship proxy for new managers. It is especially useful for individual contributors transitioning into management, or for existing managers who want to benchmark and refine their practices.
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  • 2
    Best-websites-a-programmer-should-visit

    Best-websites-a-programmer-should-visit

    Some useful websites for programmers

    ...Rather than being a random bookmark dump, it organizes resources into practical categories such as algorithms, competitive programming, reading materials, podcasts, newsletters, interview prep, design, security, performance, and more. The list aims to reduce the “what should I learn next?” friction by pointing you to high-signal, time-tested tutorials, references, and tools. Because it spans beginner to advanced topics, you can use it as an on-ramp when starting out and as a roadmap for deeper specialization later. It also surfaces non-code essentials like productivity, writing, and career guidance, acknowledging that strong developers need more than syntax. ...
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  • 3
    spf13-vim

    spf13-vim

    The ultimate vim distribution

    ...The distribution standardizes plugin management and wiring so users don’t have to chase configuration snippets from blog posts. It emphasizes discoverability with well-documented mappings and a clear file layout, which helps newcomers learn the system and experienced users tweak it safely. Even though the broader Vim ecosystem has evolved, spf13-vim remains a recognizable snapshot of a cohesive, full-featured setup that many developers leaned on for years. Its value is as much educational as it is practical: it shows how to shape Vim into a modern editor while keeping the core lightweight and fast.
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  • 4
    Must-Watch JavaScript

    Must-Watch JavaScript

    JavaScript talks you have to see on functional programming

    Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen their understanding of JavaScript beyond “just writing code,” this repo offers a guided path through well-chosen content that can expand perspective: on architecture, patterns, pitfalls, performance tradeoffs, and the rationale behind design decisions in JS. ...
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  • 5
    ChromeAppHeroes

    ChromeAppHeroes

    Chinese manual for excellent Chrome plug-ins

    ChromeAppHeroes appears to be a repository with sample or template Chrome apps/extensions — perhaps intended to help developers learn how to build Chrome applications, quick prototypes, or small utilities. As such, it likely includes boilerplate code, manifest definitions, example UI components, and sample functionality (e.g. browser-action buttons, content scripts, background scripts) to illustrate how to structure a Chrome app. For learners or developers new to Chrome extension/app development, ChromeAppHeroes could serve as a starting kit: instead of starting from scratch, they can clone or fork the repo and immediately begin building features, thereby speeding up development. ...
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  • 6
    Professional Programming

    Professional Programming

    A collection of learning resources for curious software engineers

    Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice. Each resource is hand-picked by the maintainer, focusing on timeless, high-signal articles, talks, and books rather than trendy or shallow content. ...
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  • 7
    Flama

    Flama

    Fire up your models with the flame

    ...The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution for the development of asynchronous and production-ready services, offering automatic deployment for ML models.
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  • 8
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy,...
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  • 9
    Solid

    Solid

    A declarative JavaScript library for building user interfaces

    ...Render-once mental model: your components are regular JavaScript functions that run once to set up your view. Automatic dependency tracking: accessing your reactive state subscribes to it. Small and fast. Simple: learn a few powerful concepts that can be reused, combined, and built on top of. Provides modern framework features like JSX, fragments, Context, Portals, Suspense, streaming SSR, progressive hydration, Error Boundaries and concurrent rendering.
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  • 10
    ASP.NET API Versioning

    ASP.NET API Versioning

    Libraries which add service API versioning to ASP.NET Web API

    ...The API versioning extensions define simple metadata attributes and conventions that you use to describe which API versions are implemented by your services. You don't need to learn any new routing concepts or change the way you implement your services in ASP.NET today. The default API versioning configuration is compliant with the versioning semantics outlined by the Microsoft REST Guidelines. There are also a number of customization and extension points available to support transitioning services that may not have supported API versioning in the past or supported API versioning with semantics that are different from the Microsoft REST versioning guidelines.
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  • 11
    GraphQL Java Tools

    GraphQL Java Tools

    A schema-first tool for graphql-java inspired by graphql-tools for JS

    This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any...
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  • 12
    Design Patterns Library

    Design Patterns Library

    A comprehensive design patterns library implemented in C#

    A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations. ...
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  • 13
    cuDF

    cuDF

    GPU DataFrame Library

    Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed...
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  • 14
    aws-devops-zero-to-hero

    aws-devops-zero-to-hero

    AWS zero to hero repo for devops engineers to learn AWS in 30 Days

    aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs,...
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  • 15
    Python-Spider

    Python-Spider

    Python3 web crawler practice

    Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe concurrency or scheduling to crawl multiple pages, and techniques to handle common web-scraping issues. For people wanting to get hands-on with building scrapers, collecting data, or learning how to navigate web programming in Python, this repository acts as a didactic reference or starting point. ...
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  • 16
    A small, easy to learn framework. For rapid application development. No XML, no action, no EJB. Use the power of Java AND the power of your database. Extracted from (comercial) app working in prod for 7 years now (www.clinsis.com). Designed in Spanis
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  • 17
    ProbabilisticCircuits.jl

    ProbabilisticCircuits.jl

    Probabilistic Circuits from the Juice library

    This module provides a Julia implementation of Probabilistic Circuits (PCs), tools to learn structure and parameters of PCs from data, and tools to do tractable exact inference with them. Probabilistic Circuits provides a unifying framework for several family of tractable probabilistic models. PCs are represented as computational graphs that define a joint probability distribution as recursive mixtures (sum units) and factorizations (product units) of simpler distributions (input units). ...
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  • 18
    LibHideIP - An IP-hiding library

    LibHideIP - An IP-hiding library

    A library for hiding the local IP address from applications.

    LibHideIP is a library that on-the-fly (by preloading) prevents programs from knowing your IP address. This makes them unable to know and reveal your location, thus helping keep the user's privacy. There is NO NEED to rebuild your software, because LibHideIP is a pre-loadable library, meaning you just need to RUN the software with LibHideIP loaded. LibHideIP is also a development library. See the project homepage https://libhideip.sourceforge.io and the project Wiki in the menu above.
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  • 19
    applied-ml

    applied-ml

    Papers & tech blogs by companies sharing their work on data science

    ...Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a living library for practitioners who want to learn from real-world successes and failures — giving insight into how large organizations structure their data pipelines, how they manage ML lifecycle at scale, and what architectural or operational tradeoffs they made. For someone designing—or planning to build—a production ML system, this repo provides patterns, precedents, and lessons learned from firms that operate at big scale.
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  • 20
    OneFile

    OneFile

    Curates delightful open-source projects

    OneFile curates delightful open-source projects that each consist of a single file, highlighting how much you can learn from compact, self-contained code. The collection spans tiny games, utilities, servers, interpreters, and teaching demos where the entire idea fits in one readable source. This “one file” constraint makes every example approachable—you can open it, grasp the full control flow, and experiment without navigating a large codebase. It’s ideal for learners seeking quick wins or for teachers looking for simple yet inspiring demos to showcase concepts. ...
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  • 21
    Laravel Learning Path

    Laravel Learning Path

    The ordered list of Laravel topics to learn, step-by-step

    Laravel Roadmap Learning Path is a structured learning guide for developers who want to grow from beginner to more advanced Laravel work. It organizes Laravel topics by experience level so learners can understand what to study first and what to approach later. The roadmap includes links to official documentation, videos, articles, and courses for each topic. It is useful for self-taught developers who want direction instead of jumping randomly between tutorials. It also helps teams define...
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  • 22
    MATLAB and Simulink for Students

    MATLAB and Simulink for Students

    An awesome list of helpful resources for students learning MATLAB

    ...Our awesome list repository below is a resource that caters to all these needs. Whether you're starting from scratch or aiming to enhance your existing knowledge, you'll find a wealth of information to help you learn MATLAB and make progress on your journey as a student. Explore the repository now and unlock the potential of MATLAB.
    Downloads: 116 This Week
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  • 23
    Dominate

    Dominate

    Dominate is a Python library for creating and manipulating HTML docs

    Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminates the need to learn another template language, and lets you take advantage of the more powerful features of Python. Dominate can also use keyword arguments to append attributes onto your tags. Most of the attributes are a direct copy from the HTML spec with a few variations. Through the use of the += operator and the .add() method you can easily create more advanced structures. ...
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  • 24

    corlpack

    Ada Library for heterogenous vectors

    ...One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs.
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  • 25
    Spring Hand Penetration Column

    Spring Hand Penetration Column

    Aims to learn Spring source code and understand principles of Spring

    Spring Hand Penetration Column is a hands-on Java learning project that teaches Spring internals by rebuilding a simplified Spring framework step by step. The repository breaks the framework into multiple learning stages so developers can understand each core concept through implementation rather than passive reading. It preserves key Spring ideas such as IoC, AOP, bean lifecycle, application context, scopes, resource loading, annotation configuration, and package scanning. Each step is...
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