Search Results for "scikit-learn"
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82 projects for "scikit-learn" with 2 filters applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
learn_python3_spider is a tutorial and example-code collection for learning web scraping with Python 3 from beginner to advanced topics. It introduces request capture, browser and mobile traffic inspection, and core scraping libraries such as Requests, BeautifulSoup, Selenium, Appium, and Scrapy. Lessons also cover JSON parsing, regular expressions, concurrency, proxy usage, login handling, and CAPTCHA-related techniques. Data can be stored with CSV, MySQL, or MongoDB examples. More advanced... -
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Zipline Reloaded
Zipline, a Pythonic Algorithmic Trading Library
...Pandas-based input and output integrate naturally with the broader Python data-science ecosystem. Strategies can also use libraries such as SciPy, Matplotlib, statsmodels, and scikit-learn for analysis and modeling. The maintained fork updates dependencies and compatibility so the established Zipline workflow remains usable on modern Python environments. -
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DevOps Basics
Practical and document place for DevOps toolchain
You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps. -
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Theseus
A library for differentiable nonlinear optimization
...Theseus bridges the gap between classical optimization and deep learning, enabling hybrid systems that learn components. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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YOLOv9
Learning What You Want to Learn Using Programmable Gradient Info
YOLOv9 is the official implementation of the paper “YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.” It is a modern object detection repository focused on improving how deep networks preserve useful information during training. The project introduces Programmable Gradient Information and the GELAN architecture to improve gradient flow, parameter efficiency, and train-from-scratch performance. -
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Marble Skill Taxonomy
Structured taxonomy of what children learn across the primary years
Marble Skill Taxonomy is an open structured dataset that maps what children learn across primary and elementary education. It breaks curriculum content into fine-grained micro-topics instead of leaving learning goals as broad standards. Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. ... -
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Rust Latam
Learn to write Rust procedural macros
This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness... -
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Three.js Skills for Claude Code
Collection of Three.js skill files
Three.js Skills for Claude Code repository is a curated collection of modular skills and educational code aimed at helping developers learn and apply Three.js, the popular JavaScript library for 3D graphics on the web. It groups foundational lessons, examples, and utilities that make it easier to set up 3D scenes, work with cameras, lighting, materials, shaders, and animation loops, and handle user interactions in a browser context. The project functions as a toolbox of practical snippets and guided examples that bridge the gap between reading documentation and building interactive 3D elements such as animated objects, interactive visualizations, and immersive web experiences. ... -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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PyQuil
A Python library for quantum programming using Quil
...To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
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PreCompose
Compose Multiplatform Navigation && State Management
Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides,... -
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Flowbite
The most popular and open-source library of Tailwind CSS components
...Get started with over 310+ block sections coded with Tailwind CSS and Flowbite to build high-quality website pages. Get started with the most advanced Figma Design System built for Tailwind CSS and Figma and upgrade your designer toolkit to the next level. Learn more about the Pro version of Flowbite which includes a Figma design kit based on the utility classes from Tailwind CSS and hundreds of coded pages and components including application UI. -
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Kotlin Wrappers
Kotlin wrappers for popular JavaScript libraries
This repository hosts a number of Kotlin wrappers for popular JavaScript libraries. To learn more please refer to the READMEs of individual modules. Artifacts are published to Maven Central, see the corresponding README files for package coordinates. All packages require JDK 8 to be installed. -
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Functional programming library golang
functional programming library for golang
...Expose a consistent set of compositions to create new functions from existing ones. For each data type, there exists a small set of composition functions. These functions are called the same across all data types, so you only have to learn a small number of function names. The semantic of functions of the same name is consistent across all data types. -
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90s Cursor Effects
Old-school cursor effects for your browser built with modern JS
"Knowing the codes" used to be all the rage, I want to bring a few back. A repo of the old effects that inspired creativity and the desire to learn at least a little code around the world. Modernized so they're a little more efficient, and just as annoying (and twice as fun) as they were before. -
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Peroxide
Rust numeric library with high performance and friendly syntax
...This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. This can make it more challenging to learn and use Rust libraries that heavily rely on Rust's unique features and syntax. -
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DeepMatch
A deep matching model library for recommendations & advertising
DeepMatch is an open-source deep matching library built for recommendation and advertising systems. It helps developers train models that learn vector representations for users and items. These representations can be exported and used in approximate nearest neighbor search for large-scale retrieval. The library supports familiar Keras workflows through model.fit() and model.predict(). Its model collection includes FM, DSSM, YouTubeDNN, NCF, SDM, MIND, and ComiRec. It is designed to make matching-model experimentation, training, and representation export easier within TensorFlow-based projects. -
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DASH V4
Blazing fast library to create a functional dashboard on ESP8266
DASH V4 is the 4th-gen blazing fast library to create a functional & real-time dashboard for ESP8266 & ESP32 microcontrollers. This library includes charts, display cards, interactive buttons and many more components to create a perfect dashboard that is accessible locally via your IoT device's IP. DASH does not require any kind of internet connection, everything is stored locally. -
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Compose Destinations
Annotation processing library for type-safe Jetpack Compose navigation
A KSP library that processes annotations and generates code that uses Official Jetpack Compose Navigation under the hood. It hides the complex, non-type-safe and boilerplate code you would have to write otherwise. No need to learn a whole new framework to navigate - most APIs are either the same as with the Jetpack Components or inspired by them. -
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Google Maps SDK for Android Samples
Samples demonstrating how to use Maps SDK for Android
Create dynamic, interactive and personalized experiences with maps, locations and geospatial experiences for your Android apps. Create an account, generate an API key, and start creating. Learn how to load the Maps SDK for Android and add a map with a bookmark to your web application. You can customize almost all aspects of the map, such as routes, landforms and places of interest, among others. Find the current location of an Android device and display details of the place or other place of interest in that location. Add bookmarks to a map, interact with click events, customize color and image, and more. ... -
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aosabook
The Architecture of Open Source Applications
...Its purpose is educational, showing developers how experienced engineers solve complex design problems in actual software projects. The material is aimed at junior developers who want to learn architectural thinking, as well as more experienced programmers who want to compare approaches across systems. The repository includes documentation and production files rather than a single executable application. It is best understood as an open publishing project for software architecture learning. -
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. All implemented algorithms provide a high-level scientific description of their functionality in their documentation string as well as references to scientific papers. ... -
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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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Courses (Anthropic)
Anthropic's educational courses
...Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured outputs, and evaluation. Assignments emphasize realistic tasks such as building small utilities, testing prompts against edge cases, and measuring quality so you learn to ship things that work. The materials are written for developers but remain friendly to newcomers, with clear setup instructions and minimal boilerplate. Because the repo is live and maintained, lessons are updated as the SDK and models evolve, and issues are used to track fixes, clarifications, and new modules.
