Search Results for "language learning"
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48 projects for "language learning" with 2 filters applied:
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom... -
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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. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features, idioms, and good style practices (including linting and PEP8). ... -
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Deep Learning Essay Reading
Read classic and new deep learning papers paragraph by paragraph
...The content spans foundational models, architectures, and training methodologies across computer vision, natural language processing, generative models, and other machine learning domains. These summaries help students, researchers, and engineers stay up to date with breakthroughs in the field without needing to sift through full academic documents. With thousands of stars and forks, this repository has become a widely referenced learning resource for anyone interested in understanding the technical ideas behind major advancements. -
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sectorlisp
Bootstrapping LISP in a Boot Sector
...It focuses on simplicity, providing a stripped-down interpreter that highlights the fundamental principles of Lisp. The codebase is compact and efficient, showcasing techniques for writing minimal yet functional software. It is often used as a learning tool for understanding interpreters, compilers, and language design. By emphasizing minimalism, it provides insight into how programming languages can be built from first principles. Overall, sectorlisp is a powerful demonstration of simplicity and efficiency in language design. -
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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Hutool
A set of tools that keep Java sweet
Hutool is a small but comprehensive Java tool class library. Through static method encapsulation, it reduces the learning cost of related APIs, improves work efficiency, makes Java as elegant as a functional language, and makes the Java language "sweet". The tools and methods in Hutool come from each user's meticulous attention to detail. It covers all aspects of the underlying code of Java development. It is not only a sharp tool to solve small problems in large-scale project development, but also an efficiency responsibility in small-scale projects. ... -
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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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GSY GitHub App Flutter
GSY Github App is a full-featured open-source cross-platform
GSY Github App is a full-featured open-source cross-platform GitHub client built in Flutter. It covers extensive GitHub functionality—repos, issues, PRs, user data—leveraging modern state management (Redux, Riverpod, Provider), multi-language support, theming, network and database optimizations. Available for mobile and desktop (though mobile is the primary focus). -
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100 proyectos de JavaScript
100 JavaScript projects with code and videos for free
100 proyectos de JavaScript is a large collection of 100 JavaScript projects, each with source code and an accompanying video tutorial, offered entirely for free. The repository is tied to the website javascript100.dev, which presents the projects as a structured learning path so learners can progressively build their skills through practice.Each project lives in its own numbered folder (for example, 01-tinder-swipe), and the README explains how to run them via the VS Code Live Preview... -
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IIAB
Internet-in-a-Box, build your own library of Alexandria
Internet-in-a-Box (IIAB) is a “learning hotspot” that brings the Internet's crown jewels (Wikipedia in any language, thousands of Khan Academy videos, zoomable OpenStreetMap, electronic books, WordPress journaling, “Toys from Trash” electronics projects, etc.) to those without Internet. You can build your own tiny, affordable server (an offline digital library) for your school, your medical clinic, your prison, your region, and/or your very own family, accessible with any nearby smartphone, tablet, or laptop. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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chinese-buy-us-stock-guide
Science book on US stocks written for investors
...The content emphasizes explaining not only each step, but also the risks and reasoning behind it. Its main value is collecting scattered U.S. stock investing information into a clearer Chinese-language learning path. -
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pytudes
Python programs, usually short, of considerable difficulty
...The name is inspired by musical études, meaning compact exercises designed to build mastery through focused practice. The repository includes readable solutions, experiments, notebooks, and scripts that cover algorithms, puzzles, probability, search, language processing, simulation, and mathematical reasoning. It is useful for programmers who want to study elegant Python code while learning how experienced developers approach problem solving. Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies. -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. -
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Go Katas
A collection of daily coding challenges
Go Katas is a curated collection of practice exercises and coding challenges specifically crafted to improve proficiency in Go, including idiomatic patterns, language fundamentals, and algorithm design. It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error... -
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Saeba's Blog
Where Saeba writes his blog, he plans to write four series: JavaScript
Blog is a large Chinese-language frontend engineering knowledge base maintained by mqyqingfeng. It collects in-depth articles on JavaScript internals, practical JavaScript topics, ES6, React, and broader frontend development ideas. Rather than being a software package, it functions as a structured educational repository for developers who want to understand how JavaScript features work under the hood. Many articles focus on concepts such as execution context, scope, prototypes, closures,... -
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blog-list
Chinese Blog Langya List, only includes high-quality independent blogs
blog-list is a curated collection of high-quality independent blogs, primarily focused on Chinese-language content, organized into thematic categories for discovery and learning. The repository aims to highlight thoughtful, consistently updated blogs that provide valuable insights across topics such as technology, philosophy, design, and personal knowledge management. It establishes criteria for inclusion, ensuring that only well-maintained and high-quality blogs are featured. ... -
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Awesome English Ebooks
Curated list of freely available English-language magazine issues
awesome-english-ebooks is a curated list that collects high-quality, English-language ebooks across programming, computer science, mathematics, and related technical domains. The repository organizes links by topic and technology so learners can quickly find foundational texts, deep dives, and practical handbooks relevant to their goals. Entries often include notes about edition, format, or prerequisite knowledge, helping readers gauge where a book fits in a learning path. ... -
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Claude Quickstarts
A collection of projects for building deployable applications
...The repository includes demos, sample integrations, and instructions to get environments running with minimal setup while handling authentication, API calls, and error handling best practices. Because it’s designed as a learning and prototyping resource, Claude Quickstarts supports exploration of interactive applications, backend services, and workflows that benefit from large language model capabilities. -
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Servant
Haskell DSL for describing, serving, querying, mocking web apps
Servant provides a type-level domain-specific language (DSL) in Haskell for describing web APIs. From a single API specification, developers can derive server implementations, client libraries, documentation, and more—ensuring consistency and type safety across the stack. We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
...It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. The system is designed to support rapid prototyping, enabling developers to iterate on UI and backend logic independently and deploy changes quickly. -
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TIL
Today I Learned
...Over years, it becomes both a reference and a record of the author’s learning journey, with the git history revealing how practices evolved. -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
Penetration-Testing-Tools is a curated collection of tools, scripts, cheatsheets and reference materials assembled to help security researchers, red-teamers, and students perform hands-on penetration testing across multiple domains. The repository groups resources by discipline — reconnaissance, web application testing, network exploitation, privilege escalation, post-exploitation and reporting — so users can quickly find relevant utilities and walkthroughs. Many entries include short usage... -
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Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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albert_zh
Implementation of A Lite Bert For Self-Supervised Learning Language
albert_zh is a Chinese ALBERT pretraining and model release repository. It implements ALBERT with TensorFlow and provides Chinese pretrained models designed to reduce parameter size while preserving strong language understanding performance. The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair...
