Search Results for "scikit-learn" - Page 26
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Showing 1969 open source projects for "scikit-learn"
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javaboy-code-samples
Collection of Java code examples and demo projects
...Each sample serves as a compact learning unit for a specific technology or pattern, allowing developers to explore one concern at a time without navigating a massive codebase. The repository often accompanies blog posts and tutorials, helping developers learn by reading articles and examining the corresponding code side-by-side. Because these practical examples cover common real-world problems and solutions, the project has amassed significant developer interest and engagement. -
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haoel.github.io
Comprehensive guide on self-hosting proxies, VPNs and transparent gate
This repository is a hands-on, longform guide for building and operating your own “scientific” Internet access setup — i.e., self-hosted proxies, VPNs, and transparent gateways — so you can reach blocked resources, protect privacy, and learn the underlying networking principles. It walks through buying and evaluating VPSes (regions, bandwidth, CN2/GIA lines), enabling kernel/network optimizations (BBR), and applying production practices like TLS certificates with Let’s Encrypt and using Cloudflare safely. The guide provides multiple deployment patterns (Dockerized gost / Shadowsocks / L2TP-IPSec, IKEv2 suggestions, and Cloudflare WARP integration), plus client configuration instructions for desktop and mobile (Clash, SwitchyOmega, Shadowrocket, etc.). ... -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large computational tasks into smaller chunks that can be executed across multiple nodes in a cluster, allowing complex analytics, machine learning workflows, and data transformations to run efficiently at scale. ... -
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ChatGPT Plugins Collection
An unofficial collection of Plugins for ChatGPT
ChatGPT-Plugins-Collection is a community-driven repository that gathers examples and resources for building, testing, and experimenting with ChatGPT plugins. The collection provides a variety of plugin implementations that showcase different use cases, helping developers learn how to extend ChatGPT’s functionality. It is designed to serve both as a learning resource for beginners and a reference point for more experienced developers. By centralizing community contributions, the repository highlights practical applications of plugins across domains such as productivity, data access, and automation. The project also serves as a starting point for developers interested in building their own custom plugins, offering inspiration and code samples. ... -
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InfyOm Laravel Generator
API and Admin Panel CRUD Generator for Laravel.
We love open-source technologies and believe in contributing back to the community. With our proven expertise, our packages are used by thousands of developers every month. Generator Builder is an add-on package for Laravel generator which helps the developers to create CRUD and APIs via a visual interface. Swagger Generator package is an add-on package of Laravel generator which helps you to generate documentation of your APIs. -
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bugstack
Java Backend Development Skills Roadbook
...It separates core technologies from supporting routes so learners can prioritize what helps them become productive first. The project is useful for students, junior developers, and working programmers who need a clearer view of what to learn next. It functions as both a structured checklist and a navigation map for Java backend career growth. -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
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KAGSA
KAGSA PROGRAMMING LANGUAGE
it designed to be easy to learn and practical for use in various projects. It has a flexible syntax and allows some things that other languages prohibit, such as using certain symbols in variable names and starting variable names with numbers. KAGSA contains several main components, including a lexer, syntax checker, parser, and compiler. It supports object-oriented programming, iteration, and other features commonly used in programming languages. -
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AurelEdit IDE
Coding IDE for Basic programming
...AurelEdit has syntax highlighting and theme changer. The program is portable application and don't have any impact on regisrty, works out of the box and is great for beginners or hobbyist to learn and use BASIC language. In AurelEdit you can easily develop and execute programs, written in BASIC languages. Enter code in editor and simply compile & run your program. In Windows can execute programs in built-in Oxygen Basic and in micro(A) Interpreter. -
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T81 558
Applications of Deep Neural Networks
...Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. ... -
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fre:ac
The fre:ac audio converter project
fre:ac is a free audio converter and CD ripper with support for various popular formats and encoders. It converts freely between MP3, M4A/AAC, FLAC, WMA, Opus, Ogg Vorbis, Speex, Monkey's Audio (APE), WavPack, WAV and other formats. With fre:ac you easily rip your audio CDs to MP3 or M4A files for use with your hardware player or convert files that do not play with other audio software. You can even convert whole music libraries retaining the folder and filename structure. The integrated CD... -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. Yellowbrick is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
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Aniseed
Neovim configuration and plugins in Fennel (Lisp compiled to Lua)
...It’ll allow you to send portions of your code off for evaluation as well as see the results in an interactive log buffer. Aniseed ships with a set of module macros that make interactive evaluation not only possible but rich and intuitive. You should read:h aniseed to learn the details but it’s worth mentioning that you opt-in by starting your file with a (module …) block, you then export values from your module with the (def…) macros. -
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Bayesian Methods for Hackers
An introduction to Bayesian methods + probabilistic programming
...It includes notebook-based chapters that let learners run and modify examples directly. The material is especially useful for programmers, data scientists, and technically curious readers who want to learn Bayesian methods through code. It remains a widely referenced entry point for making Bayesian statistics feel practical and approachable. -
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FireWeb
Java Single Page Web Application Framework
Java Single Page Application Framework. Using POJO/JavaScript/WebSocket/HTML. Without any scripting - only pure Java classes. Simply and easy to learn, use and extend. -
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Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional... -
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SpecTcl is a Tcl/Tk based histogrammer suitable for analysis of nuclear physics data. SpecTcl is relatively easy to learn, and is based on top of a very open C++ histogramming class framework. SpecTcl has been developed under NSF grant PHY-9528844 and DOE grant DE-SC0000661 Note that as of July 2023, all future development and release packages will be occur at https://github.com/FRIBDAQ/SpecTcl
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Dyalect
Dyalect is a programming language for .NET Core
...Dy runs on the top of its own high performance virtual machine. It compiles fast and can be used as an embeddable language or as a scripting language of your choice. It is also a good language to learn programming. Dyalect offers modern syntax, inspired by such languages as C#, Swift, Go and Rust, first class functions, coroutines, expressive modules, a dynamic type system with an ability to extend existing types with new functions and much more. Dy is shipped with a crossplatform interactive console. Main repo: https://github.com/vorov2/dyalect -
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Spring Boot Examples
Spring Boot tutorials, technology stack example code
...The author notes that all examples have been updated to Spring Boot 3.0, with earlier 1.x and 2.x code paths kept accessible for reference. Each sample focuses on a single topic—such as Web MVC, WebFlux, Thymeleaf, JPA/MyBatis CRUD, file upload, Redis/MongoDB, RabbitMQ, and containerization—so you can learn one concept at a time and compose them later. There are also demos for testing, packaging (JAR/WAR), and Docker Compose scenarios that combine Spring Boot with Nginx and MySQL. If you want additional topics covered, the maintainer invites requests via issues so the set can keep growing with the community’s needs. -
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learn-machine-learning-in-two-months
Essential Knowledge for learning Machine Learning in two months
The learn-machine-learning-in-two-months repository is an educational open-source project designed to guide beginners through the process of learning machine learning and deep learning concepts within a structured two-month study plan. The project compiles curated resources, tutorials, and practical notebooks that introduce fundamental topics such as mathematics for machine learning, Python programming, and essential libraries like NumPy and TensorFlow. -
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fre:ac - free audio converter
Audio converter and CD ripper for various formats
fre:ac is a free audio converter and CD ripper for various formats and encoders. It features MP3, MP4/M4A, WMA, Ogg Vorbis, FLAC, AAC, and Bonk format support, integrates freedb/CDDB, CDText and ID3v2 tagging and is available in several languages. -
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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The project provides numerous examples and tutorials covering classical machine learning techniques such as regression, classification, clustering, and dimensionality reduction. It includes code implementations that show how to build models using popular libraries like scikit-learn, NumPy, pandas, and Matplotlib. The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. ... -
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UnionML
Build and deploy machine learning microservices
...Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. ... -
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All HTML Form Widgets With Top Examples
Learn About All HTML Form Widgets And Controls With Top Examples
Notes: Please click on "Date Modified" - "Ascending" to view all related files together, in your File Manager / Explorer / Finder Refer Video Below and also Wiki Page for More Instructions Categories : Website Forms Design Development Tutorial Widgets Controls Examples Creation -
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Git Tips
Compact knowledge base of Git command tips and workflows
...The collection is useful for daily development, code reviews, and release management where precise Git operations matter. Because entries are concise and independent, you can dip in at any point and learn something useful in a minute or two. It serves both as a cheat sheet for experienced developers and a learning aid for those new to version control.
