Search Results for "language learn" - Page 4
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Showing 354 open source projects for "language learn"
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Ruma
A set of Rust crates for interacting with the Matrix chat network
...Matrix is federated, so no single company controls the system or your data. You can use an existing server you trust or run your own, and the servers synchronize messages seamlessly. Learn more in the Introduction to Matrix. Rust is a systems programming language from Mozilla built with safety, concurrency, and performance in mind. Its novel approach to memory safety and its rich type system make it an excellent choice for writing fast, secure, and reliable programs. -
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fpdf2
Simple PDF generation for Python
fpdf2 is a library for simple & fast PDF document generation in Python. It is a fork and the successor of PyFPDF. Compared with other PDF libraries, fpdf2 is fast, versatile, easy to learn and to extend (example). It is also entirely written in Python and has very few dependencies: Pillow, defusedxml, & fontTools. It is a fork and the successor of PyFPDF. -
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Prometheus Operator
Prometheus Operator creates/configures/manages Prometheus clusters
...Simplified Deployment Configuration: Configure the fundamentals of Prometheus like versions, persistence, retention policies, and replicas from a native Kubernetes resource. Prometheus Target Configuration: Automatically generate monitoring target configurations based on familiar Kubernetes label queries; no need to learn a Prometheus-specific configuration language. -
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Schema Spy
SchemaSpy code home
This is a new code repository for SchemaSpy tool initially created and maintained by John Currier. I personally believe that work on SchemaSpy should be continued, and a lot of still existing issues should be resolved. Last released version of the SchemaSpy was in 2010, and I have a plan to change this. Process of installation is very simple because SchemaSpy is only one Java .jar application. You can learn more read the installation doc. When you environment will be ready, and you can start... -
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SurrealDB
A scalable, distributed, collaborative, document-graph database
With an SQL-style query language, real-time queries with highly-efficient related data retrieval, advanced security permissions for multi-tenant access, and support for performant analytical workloads, SurrealDB is the next generation serverless database. SurrealDB is the ultimate cloud database for tomorrow's applications. SurrealDB is an innovative NewSQL cloud database, suitable for serverless applications, jamstack applications, single-page applications, and traditional applications. ... -
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go-doudou
A lightweight microservice framework
go-doudou (doudou pronounce /dəudəu/) is OpenAPI 3.0 (for REST) spec and Protobuf v3 (for grpc) based lightweight microservice framework. It supports monolith service applications as well. Starts from golang interface, no need to learn new IDL(interface definition language). Powerful code generator cli built-in. After defining your interface methods, your only job is implementing your awesome idea. Born from the cloud-native era. Built-in CLI can speed up your product iteration. Built-in service governance support including remote configuration management, client-side load balancer, rate limiter, circuit breaker, bulkhead, timeout, retry and more. ... -
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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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Rubix ML
A high-level machine learning and deep learning library for PHP
Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. -
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TIL
Today I Learned
...Entries are intentionally short—often a paragraph and an example—so they’re easy to search, skim, and apply in a pinch. Topics span everyday developer concerns: shell one-liners, Git incantations, editor tricks, language quirks, and small debugging patterns that save time. Because each note is atomic, the collection grows organically without becoming a tangled tutorial or book; readers can dip in anywhere and learn something useful in a minute. The repo format also encourages community contributions and personal forking, making it a template for teams to build their own shared knowledge base. ... -
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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Coding Interview University
A complete computer science study plan to become a software engineer
...The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
Qwen-Image-Layered is an extension of the Qwen series of multimodal models that introduces layered image understanding, enabling the model to reason about hierarchical visual structures — such as separating foreground, background, objects, and contextual layers within an image. This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image... -
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GSY Flutter Book
Flutter complete development practical explanation series
...The repository also shows how to structure a learning project with chapters, code folders, and eventually live sample apps. Because it is community-maintained, readers can open issues, review code, and learn from how the examples evolve. -
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acme.sh
A pure Unix shell script implementing ACME client protocol
A pure Unix shell script implementing ACME client protocol. An ACME protocol client written purely in Shell (Unix shell) language. Full ACME protocol implementation. Support ECDSA certs. Support SAN and wildcard certs. Simple, powerful and very easy to use. You only need 3 minutes to learn it. Bash, dash and sh compatible. Purely written in Shell with no dependencies on python. Just one script to issue, renew and install your certificates automatically. Does not require root/sudoer access. ... -
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Vapor
A server-side Swift web framework
Non-blocking, event-driven architecture built on top of Apple's SwiftNIO. Written in Swift, the powerful programming language that is also easy to learn. Expressive, protocol-oriented design with a focus on type-safety. Vapor is more than just a web framework. The project includes over a hundred official and community maintained server-first Swift packages. Vapor's documentation covers everything from creating your first application to building large projects. -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
...Thanks to the SQL layer it's straightforward to use for people skilled in the Relational world. OrientDB adheres to the NoSQL movement even though it supports ACID Transactions and SQL as query language. In this way it's easy to start using it without having to learn too much new stuff. -
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Agent Reinforcement Trainer
Train multi-step agents for real-world tasks using GRPO
Agent Reinforcement Trainer, or ART is an open-source reinforcement learning framework tailored to training large language model agents through experience, making them more reliable and performant on multi-turn, multi-step tasks. Instead of just manually crafting prompts or relying on supervised fine-tuning, ART uses techniques like Group Relative Policy Optimization (GRPO) to let agents learn from environmental feedback and reward signals. The framework is designed to integrate easily with Python applications, abstracting much of the RL infrastructure so developers can train agents without deep RL expertise or heavy infrastructure overhead. ... -
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Hello Git & GitHub
Tutorial repository designed to teach how to use the Git vc system
Hello-Git is a tutorial repository designed to teach how to use the Git version-control system and the GitHub platform from the ground up, aimed at beginners. The course spans around 5 hours of instruction and covers more than 25 Git commands along with GitHub workflows, installation/configuration, terminal usage, branching, merging, collaboration, and authentication. It is structured to introduce learners not only to the syntax of Git commands but also to development workflows such as... -
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Neorg
Modernity meets insane extensibility
Neorg is an all-encompassing tool based around structured note taking, project and task management, time tracking, slideshows, writing typeset documents and much more. The premise is that all of these features are built on top of a single base file format (.norg), which the user only has to learn once to gain access to all of Neorg's functionality. Not only does this yield a low barrier for entry for new users it also ensures that all features are integrated with each other and speak the same underlying language. The file format is built to be expressive and easy to parse, which also makes .norg files easily usable anywhere outside of Neorg itself. ... -
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Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
This repository contains code for the Bot Framework Web Chat component. The Bot Framework Web Chat component is a highly-customizable web-based client for the Bot Framework V4 SDK. The Bot Framework SDK v4 enables developers to model conversation and build sophisticated bot applications. This repo is part of the Microsoft Bot Framework, a comprehensive framework for building enterprise-grade conversational AI experiences. Create a bot with the ability to speak, listen, understand, and learn... -
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WrenAI
Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy
...Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. When starting a new conversation in Wren AI, your question is used to find the most relevant tables. ... -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. ... -
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Agentic Data Scientist
An end-to-end Data Scientist
Agentic Data Scientist is an experimental AI-driven research framework that orchestrates data science workflows through autonomous agents that can reason, plan, and execute complex analytics tasks. Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data... -
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vimrc
The ultimate Vim configuration (vimrc)
...It also includes update scripts and guidance for keeping plugins current, which lowers the maintenance burden for users who just want Vim to work well. Documentation explains the layout and keybindings so you can learn quickly, then customize as you grow more comfortable. -
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Elixir Koans
Elixir learning exercises
...By debugging and filling in missing pieces, users gain practical, hands-on experience while reinforcing theoretical knowledge. The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The...
