Search Results for "learning" - Page 51
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Showing 4736 open source projects for "learning"
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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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Redwood
The App Framework for Startups
...We begin by crafting a more integrated framework. We’ve chosen the world’s most popular rendering engine to power Redwood’s web frontend. With React, you’ll have your pick of learning materials, design systems, and trained employees. As your project grows, so will the number of client apps that need to talk to your backend. With a GraphQL API as your foundation, you can live in a multi-client world with ease. Interacting with your database has never been easier. Prisma’s extremely popular ORM allows you to focus more on your business logic and less on the intricacies of SQL. ... -
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vinext-starter
An interactive 3D human anatomy explorer built using threejs
...Viewer tools can isolate structures, show cross-sections, toggle layers, compare organs, and reset the scene. Each organ page presents its scientific name, description, size, weight, location, blood supply, function, medical relevance, and other learning facts. Additional activities include guided lessons, quick quizzes, function animations, microscopic views, and organ comparisons. The interface prefetches models and image assets to make switching between specimens feel responsive. The application is built with React, Three.js-based rendering, GSAP interface animation, and a modern full-stack web starter with optional Cloudflare services. -
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Harness Engineering
Field guide, and agent context bundle for harness engineering
...The playbooks help teams improve one representative workflow, review repository readiness, and compare changes over time. The project emphasizes reliability, security, maintainability, compatibility, authority, and cumulative organizational learning. It is designed to help agents recover intent, operate real systems, verify results, and leave future runs better prepared. -
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investing-for-beginners
Chinese-language repository that organizes introductory material
Investing for Beginners is a Chinese-language educational repository that organizes introductory material on U.S. stocks, options, and cryptocurrency. It is designed for readers without a professional finance background who need a structured path through unfamiliar terms and market mechanics. The guides explain trading sessions, order types, financial statements, valuation, liquidity, costs, and basic portfolio risk. More advanced sections introduce option payoffs, time decay, volatility,... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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TabFM
scikit-learn compatible tabular foundation model
...It is designed to work with mixed numerical and categorical columns without requiring a custom training run for every new table. Instead of fitting model weights to the user’s dataset, TabFM uses in-context learning by reading training examples and test rows together at inference time. The library provides scikit-learn-compatible classifier and regressor interfaces, which makes it familiar for data scientists already using Python ML workflows. It supports both JAX and PyTorch backends and can automatically download pretrained TabFM v1.0.0 weights. ... -
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zhengxi-views
Zheng Xi (Efonda Fund Manager) Investment Research Agent Skill
...The skill can answer source-grounded questions, explain methodology, compare funds, and score funds against Zheng Xi’s stated framework. It is positioned as a research and learning assistant, not as financial advice. -
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go-ast-book
Go Language Customization Guide
Go AST Book is an open-source Chinese technical book about understanding and customizing Go through its abstract syntax tree. It explains how Go source files can be represented as semantically equivalent AST structures. The book focuses on the standard library packages behind this process, especially go/ast and go/token. It shows how tools such as formatting, documentation, parsing, and code analysis are built on top of syntax tree concepts. The repository includes chapter files, appendices,... -
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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. -
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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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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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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LLM From Scratch
Build and train a GPT-style language model
...The repository is intentionally simplified to focus on conceptual clarity, using a compact model of roughly 10 million parameters that can train on consumer hardware such as laptops within a relatively short time. Inspired by Andrej Karpathy’s nanoGPT, the project emphasizes learning through direct implementation and experimentation rather than black-box usage. The workshop documentation explains concepts such as self-attention, embeddings, gradient clipping, optimizer scheduling, and decoding strategies in a practical and approachable way. -
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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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darwin-skill
Autoresearch-inspired autonomous skill optimization for Claude Code
darwin-skill is an experimental framework designed to automatically improve AI agent “skills” through iterative evaluation and optimization loops inspired by machine learning training processes. Instead of treating prompts or skill definitions as static assets, the system applies a continuous improvement cycle that evaluates performance, proposes changes, tests outcomes, and either retains or reverts modifications. The framework introduces a scoring system across multiple dimensions, enabling quantitative assessment of skill quality and ensuring that only improvements are preserved over time. ... -
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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. -
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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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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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Vector Admin
The universal tool suite for vector database management
Vector Admin is a full-stack management platform designed to simplify the handling, visualization, and control of vector databases used in modern AI and machine learning applications. It acts as a universal interface for interacting with multiple vector database providers such as Pinecone, Chroma, Weaviate, and Qdrant, enabling users to manage embeddings without relying solely on APIs or backend tooling. The platform provides a user-friendly graphical interface that allows developers and non-technical users alike to inspect, edit, and organize vectorized data in a way that is typically opaque in standard workflows. ... -
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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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All-in-RAG
Big Model Application Development Practice 1
All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. The project also explores advanced topics such as hybrid retrieval methods, query optimization, and evaluation techniques for improving system accuracy. ... -
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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. ...