Search Results for "learning" - Page 50
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Showing 4819 open source projects for "learning"
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k8s_PaaS
How to deploy to PaaS/DevOps
...It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments. It explains not only what to do, but also why each step matters and how to complete it in a working environment. The guide is aimed at helping beginners move from Docker basics to a full Kubernetes-based delivery platform. ... -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
...The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution. -
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Ditto
The simplest self-building coding agent
...The project is intentionally lightweight and experimental, making it easier to understand than larger agentic coding platforms. Its modular structure separates generated Flask components into cleaner directories for routes, templates, and static files. It is best suited for prototyping, learning, and exploring how natural-language app generation can work in a small local project. -
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Chat/Messaging App Light and Dark Theme
Flutter UI project for building a messaging app interface
...It demonstrates how Flutter layouts can be structured for chat lists, message screens, onboarding, sign-in, and sign-up experiences. The dual theme support makes it useful for learning how to design consistent interfaces across different visual modes. It is best suited for Flutter learners and mobile developers who need a clean UI base for chat-style apps. -
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GitHubPoster
Make everything a GitHub svg poster and Skyline
...The project is built around loaders that import data and render it as visually recognizable contribution-style graphics. It is useful for people who want to display habits, reading, coding, health, language learning, or other quantified-life records in a GitHub-inspired format. It can be run locally from the command line and can also be automated through GitHub Actions. Its modular approach makes it possible for contributors to add new data sources over time. -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
...Unlike beginner-focused interview guides, it emphasizes deeper understanding of how front-end technologies work internally and how large-scale applications are designed and maintained. The repository is structured as a learning resource for experienced developers preparing for senior engineering interviews at major technology companies. It combines theoretical explanations with practical examples, helping users strengthen both conceptual understanding and applied engineering skills. -
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LinuxPlay
An open-source, ultra-low-latency remote desktop for Linux hosts
...The project demonstrates how to build a media player from scratch, including handling audio-video synchronization and playback controls. It supports local file playback and may include streaming capabilities depending on configuration. LinuxPlay is structured as both a functional tool and a learning resource for developers interested in multimedia systems. Its design emphasizes simplicity and performance, avoiding unnecessary dependencies. Overall, it serves as a practical example of media player implementation on Linux. -
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BTC Trading Since 2020
Public BTC trading context since 2020
...The project emphasizes data-driven decision-making, providing tools and scripts to analyze trends, generate signals, and evaluate performance metrics. It is structured in a way that allows users to modify or extend strategies, making it suitable for both learning and experimentation. The system is particularly useful for individuals interested in quantitative trading and algorithmic finance. -
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cmdh
Create Linux commands from natural language, in the shell
...The tool integrates with language models to interpret user intent and generate accurate commands, reducing the need for memorizing complex syntax. It is particularly useful for beginners learning shell environments as well as experienced users who want to speed up repetitive tasks. cmdh emphasizes minimalism and speed, offering a lightweight interface that fits seamlessly into existing command-line workflows. It can be used interactively or integrated into scripts, making it flexible for different use cases. Overall, cmdh enhances productivity by bridging the gap between natural language and technical command execution. -
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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Claude Code Architecture Study
Research on Coding Agents
...It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their own agents. The framework emphasizes learning by doing, allowing users to experiment with agent behavior, prompt design, and workflow structuring. It also explores how agents interact with tools such as file systems, terminals, and APIs, giving a holistic view of real-world applications. The project is particularly valuable for developers transitioning from traditional programming to AI-assisted or autonomous development paradigms. -
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autoresearch-win-rtx
AI agents running research on single-GPU nanochat training
autoresearch-win-rtx is a Windows-based implementation of the autoresearch framework designed to run autonomous AI research loops on consumer NVIDIA RTX GPUs. It adapts the original autoresearch concept to a Windows environment, enabling users to perform iterative machine learning optimization without requiring specialized Linux or data center setups. The system revolves around a small set of core files, including a training script that is continuously modified by an AI agent, along with supporting utilities for data preparation and evaluation. Experiments are executed within a fixed time budget, ensuring consistent benchmarking across iterations and allowing the agent to focus on incremental improvements. ... -
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xiaohongshu-ops
Turn Openclaw into a Xiaohongshu operations assistant
xiaohongshu-ops-skill is a curated repository focused on operational strategies, growth techniques, and content optimization practices for the Xiaohongshu platform, also known as RED, which is widely used for social commerce and influencer marketing. Unlike traditional software projects, it functions as a structured knowledge base that compiles actionable insights for content creators, marketers, and businesses aiming to grow their presence on the platform. The repository includes guides on... -
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lemonade-stand
A handy guide to financial support for open source
lemonade-stand is an open educational project designed to teach developers how to build and run a software business through a collection of curated resources, guides, and real-world examples. Rather than being a traditional software tool, it functions as a structured knowledge base that walks users through the process of ideation, product development, marketing, monetization, and scaling. The repository is organized into sections that cover key aspects of building a startup, including... -
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PromptBin
A free guide for learning to create ChatGPT3 Prompts
PromptBin is an open-source prompt engineering resource and lightweight web application designed to help users discover, organize, and reuse effective prompts for large language models like ChatGPT. At its core, the project acts as a curated and structured library of prompts across a wide variety of use cases, including writing, brainstorming, debugging, and coding, making it particularly useful for both beginners and advanced users. The repository is also intended as a foundation for... -
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NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying large models in production environments. ... -
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OSMO
The developer-first platform for scaling complex Physical AI workloads
OSMO is a developer-first orchestration platform designed to scale complex physical AI workflows across heterogeneous computing environments, including cloud GPUs, simulation clusters, and edge devices. It was originally built internally at NVIDIA to support robotics and embodied AI systems, where workflows span multiple stages such as data generation, training, simulation, and hardware testing. The platform addresses what NVIDIA refers to as the “three computer problem” by unifying these... -
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weixin-java-mp-demo
Based on Spring Boot and WxJava implementation of WeChat
...By providing ready-to-run examples, it helps developers quickly understand the integration flow between Spring Boot and WeChat APIs. Overall, it functions as both a learning reference and a boilerplate foundation for production-grade WeChat public account services. -
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SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
SimpleLLM is a minimal, extensible large language model inference engine implemented in roughly 950 lines of code, built from scratch to serve both as a learning tool and a research platform for novel inference techniques. It provides the core components of an LLM runtime—such as tokenization, batching, and asynchronous execution—without the abstraction overhead of more complex engines, making it easier for developers and researchers to understand and modify. Designed to run efficiently on high-end GPUs like NVIDIA H100 with support for models such as OpenAI/gpt-oss-120b, Simple-LLM implements continuous batching and event-driven inference loops to maximize hardware utilization and throughput. ... -
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Supermemory
Memory engine and app that is extremely fast, scalable
Supermemory is an ambitious and extensible AI-powered personal knowledge management system that aims to help users capture, organize, retrieve, and reason over information in a manner that mimics human memory structures. The platform allows individuals to ingest text, documents, and other content forms, then uses advanced retrieval and embedding techniques to index and relate information intelligently so that users can recall relevant knowledge in context rather than just by keyword match.... -
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OhMyOpenCode
The Batteries-Included Agent that codes like you
...It provides templates, organizational guidelines, and tooling that standardize how projects are set up — including recommended README structures, contribution workflows, issue templates, and automated CI/CD integrations — so maintainers can focus on building features instead of boilerplate. The repository also serves as a showcase and aggregation hub for quality open-source work, offering curated lists of notable projects, learning pathways, and contribution opportunities for developers at various skill levels. With clear onboarding instructions and community norms baked into the templates, newcomers to open source can quickly understand how to make effective contributions without being overwhelmed by unfamiliar practices. -
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Aprendiendo React
A course to learn React
Aprendiendo React is a project-based React course repository aimed at teaching React from scratch in Spanish, with a strong emphasis on building real applications. The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a... -
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Marksheet
Free tutorial to learn HTML and CSS
MarkSheet is a beginner-friendly curriculum for learning HTML and CSS from first principles, organized as a readable online handbook. It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. -
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Beginner JavaScript
Slam Dunk JavaScript
...It focuses on fundamentals—variables, types, functions, arrays, objects, DOM manipulation, and events—while introducing ES6+ features in approachable steps. The materials encourage learning by doing, with interactive challenges, starter files, and solutions you can compare against your own attempts. Clear explanations and incremental projects help learners build confidence before tackling more complex topics. Because everything runs in the browser with minimal tooling, setup is simple and newcomers can focus on the language rather than the build system. ... -
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Resources-Front-End-Beginner
The most essential list of resources for Front-End beginners
Resources-Front-End-Beginner is a curated, continually updated directory for people starting their front-end journey. It organizes learning links across topics like HTML, CSS, JavaScript, Git, tooling, and practice projects, making it easy to chart a study path. The repository balances conceptual resources with hands-on tutorials and challenges so learners can build muscle memory. It also highlights community spaces and reference material to encourage collaboration and long-term growth. ... -
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Tree
tree is a library for working with nested data structures
...It generalizes Python’s built-in map function to operate over arbitrarily nested collections — including lists, tuples, dicts, and custom container types — while preserving their structure. This makes it particularly useful in machine learning pipelines and JAX-based workflows, where complex parameter trees or hierarchical state representations are common. The library provides efficient operations such as flatten, unflatten, and map_structure, enabling users to apply functions to all leaves of a nested structure seamlessly. Backed by a high-performance C++ core, tree is optimized for large-scale, performance-critical applications.