8300 projects for "code" with 1 filter applied:

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  • 1
    Sunfish

    Sunfish

    Sunfish: a Python Chess Engine in 111 lines of code

    sunfish is a minimalist yet surprisingly strong chess engine written in Python, designed to demonstrate how powerful algorithms can be implemented in a highly compact codebase. Despite being only around a hundred lines of core logic, the engine achieves competitive performance, reaching ratings above 2000 on online platforms. It implements classic chess engine techniques such as alpha-beta pruning and efficient board representation while maintaining readability and simplicity. The project is...
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  • 2
    ZML

    ZML

    Any model. Any hardware. Zero compromise

    ...The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. It is designed to handle complex distributed setups, including scenarios where model components are split across devices connected via networks.
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  • 3
    Google Kubernetes Engine (GKE) Samples

    Google Kubernetes Engine (GKE) Samples

    Sample applications for Google Kubernetes Engine (GKE)

    Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. ...
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  • 4
    Terraform Examples and Modules for GC

    Terraform Examples and Modules for GC

    End-to-end modular samples and landing zones toolkit for Terraform

    Terraform Examples and Modules for GC is a comprehensive infrastructure-as-code toolkit built on Terraform that enables organizations to design, deploy, and manage enterprise-grade Google Cloud environments using modular and reusable components. It provides a collection of end-to-end blueprints and composable modules that allow teams to implement standardized cloud architectures such as landing zones, networking configurations, and security frameworks.
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  • 5
    Mink

    Mink

    PHP web browser emulator abstraction

    ...Instead of tying test logic to a specific browser driver, Mink introduces a unified API that can work with multiple drivers such as Goutte, Selenium, ChromeDriver, or BrowserKit. This abstraction enables developers to write tests once and run them across different environments without changing the test code. Mink is commonly used in behavior-driven development workflows, particularly with frameworks like Behat, where it helps simulate real user behavior such as clicking links, filling forms, and navigating pages. The library supports session management, allowing multiple browser sessions to run simultaneously and interact with different pages or environments.
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  • 6
    rebroswer-patches

    rebroswer-patches

    Patches for Puppeteer and Playwright to reduce automation detection

    rebrowser-patches is an open source collection of patches designed to improve the stealth capabilities of browser automation frameworks. It focuses primarily on enhancing Puppeteer and Playwright by modifying parts of their source code that may reveal automation activity to websites. Many modern websites rely on bot detection mechanisms that identify automation through behavioral or technical signals, and these patches aim to reduce those detection vectors. By applying targeted fixes, the project helps developers minimize automation leaks that are difficult or impossible to address through configuration options alone. ...
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  • 7
    GPU Puzzles

    GPU Puzzles

    Solve puzzles. Learn CUDA

    ...Instead of presenting traditional lecture-style explanations, the project immerses learners directly in hands-on programming tasks that demonstrate how GPU computation works. The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. ...
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  • 8
    Grounded Docs

    Grounded Docs

    Open-Source Alternative to Context7, Nia, and Ref.Tools

    ...By acting as an intermediary layer between documentation sources and AI tools, the server enables models to access structured documentation in a consistent and machine-readable format. This makes it easier for AI systems to answer technical questions, generate code examples, or retrieve reference material without requiring developers to manually integrate documentation into prompts. The architecture follows the MCP specification, which allows AI assistants and agent frameworks to connect to external tools through standardized protocols.
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  • 9
    LLMs-Zero-to-Hero

    LLMs-Zero-to-Hero

    From nobody to big model (LLM) hero

    LLMs-Zero-to-Hero is an open-source educational project designed to guide learners through the complete process of understanding and building large language models from the ground up. The repository presents a structured learning pathway that begins with fundamental concepts in machine learning and progresses toward advanced topics such as model pre-training, fine-tuning, and deployment. Rather than relying entirely on existing frameworks, the project encourages readers to implement...
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  • 10
    LlamaDeploy

    LlamaDeploy

    Deploy your agentic worfklows to production

    ...The project provides an asynchronous architecture that allows developers to deploy complex multi-agent workflows as scalable microservices. It enables teams to move from experimental prototypes to production systems with minimal changes to existing LlamaIndex code, making it easier to operationalize AI agents. The system supports orchestrating multiple services, handling communication between agents, and managing workflow execution in distributed environments. Developers can define workflows that involve multiple steps such as data retrieval, reasoning, tool invocation, and response generation, then deploy them using the framework’s infrastructure tools. ...
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  • 11
    Floneum

    Floneum

    Instant, controllable, local pre-trained AI models in Rust

    Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that allows external components to extend the platform while maintaining isolation and security. Many plugins can be written in different programming languages and compiled to WebAssembly modules, allowing them to run safely within the system. ...
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  • 12
    KG-LLM-Papers

    KG-LLM-Papers

    Papers integrating knowledge graphs (KGs) and large language models

    KG-LLM-Papers is a curated academic resource that collects and organizes research papers exploring the intersection between knowledge graphs and large language models. The repository functions as a continuously updated index of scholarly work that investigates how structured knowledge representations can enhance the reasoning, factual accuracy, and interpretability of language models. It includes surveys, benchmark studies, and cutting-edge research that examine topics such as knowledge...
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  • 13
    AI Engineering Transition Path

    AI Engineering Transition Path

    Research papers and blogs to transition to AI Engineering

    ...Instead of presenting isolated tutorials, the repository provides a structured pathway that guides engineers through the technical knowledge needed to build and deploy large language model systems. The materials include curated research papers, blog posts, and code examples that explain both theoretical foundations and practical implementation strategies. By consolidating these resources into a single repository, the project helps developers navigate the rapidly expanding AI ecosystem without needing to search through scattered materials.
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  • 14
    LLM Agents Papers

    LLM Agents Papers

    Must-read Papers on LLM Agents

    ...The project organizes academic literature that explores how language models can act as agents capable of reasoning, planning, and interacting with external tools or environments. Rather than providing software code, the repository functions as a structured knowledge base that helps researchers navigate the rapidly expanding field of agent-based AI research. Papers are categorized into thematic groups covering topics such as tool use, planning algorithms, reasoning strategies, and multi-agent collaboration. The repository helps readers understand how agent architectures are evolving and how they are applied in domains such as robotics, software automation, and decision-making systems. ...
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  • 15
    SmartEnum

    SmartEnum

    A base class for creating strongly typed enum replacements in C#

    ...The project also includes ecosystem support for serialization, Entity Framework persistence, and validation attributes, making it suitable for real-world enterprise applications. Overall, SmartEnum helps teams write more maintainable and intention-revealing domain code by replacing brittle primitive enums with extensible types.
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  • 16
    Polyaxon

    Polyaxon

    MLOps tools for managing & orchestrating the ML LifeCycle

    ...Polyaxon integrates seamlessly with Kubernetes and container orchestration so that workloads can be scheduled efficiently, GPU and CPU resources are shared, and distributed training across multiple nodes is straightforward. It supports connection to external Git repositories for source-controlled experiments, making it easy to pull code directly for runs and enabling continuous integration workflows with tools like GitHub Actions.
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  • 17
    papermill

    papermill

    Parameterize, execute, and analyze notebooks

    ...This capability is particularly useful in data science and analytics, where a template notebook might be reused for batching reports across dates, customers, or other variables without rewriting code or duplicating notebooks. Papermill supports both Python API usage and a command-line interface, making it flexible for integration with CI/CD systems, shells, and workflow orchestration tools like Airflow.
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  • 18
    ZAPI

    ZAPI

    ZAPI by Adopt AI is an open-source Python library

    ...It integrates smoothly into modern development stacks, supports hot reloading for rapid iteration, and includes a command-line toolchain for scaffolding new endpoints or services with sensible defaults. The framework also supports plugin extensions that add things like rate limiting, caching layers, and telemetry without cluttering core code.
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  • 19
    AI Researcher

    AI Researcher

    An autonomous AI researcher

    ...It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. ...
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  • 20
    TONL

    TONL

    TONL (Token-Optimized Notation Language)

    ...It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability.
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  • 21
    StoryMem

    StoryMem

    Official code for StoryMem: Multi-shot Long Video Storytelling

    StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or...
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  • 22
    MicroQuickJS

    MicroQuickJS

    Public repository of the Micro QuickJS Javascript Engine

    ...To stay small and predictable, it supports a subset of JavaScript close to ES5 rather than modern ECMAScript features, which keeps implementation complexity and runtime overhead lower. It also offers a stricter mode that forbids certain error-prone or inefficient constructs, encouraging safer and more deterministic code in embedded environments.
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  • 23
    DFlash

    DFlash

    Block Diffusion for Ultra-Fast Speculative Decoding

    ...This approach has been shown to deliver lossless acceleration on models like Qwen3-8B by combining block diffusion techniques with efficient batching, making it ideal for applications where latency and cost matter. The project includes support for multiple draft models, example integration code, and scripts to benchmark performance, and it is structured to work with popular model serving stacks like SGLang and the Hugging Face Transformers ecosystem.
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  • 24
    Go Katas

    Go Katas

    A collection of daily coding challenges

    ...Because Go is widely used for backend services, cloud tooling, and systems programming, this repository helps participants build confidence in writing reliable, idiomatic, and maintainable code in real environments.
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  • 25
    LemonadeJS

    LemonadeJS

    LemonadeJS is a 7KB reactive JavaScript micro-library

    ...The library also offers powerful template syntax and lifecycle hooks so you can manage state, effects, loops, and events in a clear and expressive way while keeping your code close to native JavaScript.
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