6400 projects for "code" with 1 filter applied:

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    CUDA Agent

    CUDA Agent

    Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

    ...Its architecture combines large-scale data synthesis, a skill-augmented CUDA development environment, and long-horizon reinforcement learning to build intrinsic optimization capability rather than relying on simple post-hoc tuning. The system operates in a ReAct-style loop where the agent profiles baseline implementations, writes CUDA code, compiles it in a sandbox, and iteratively refines performance. CUDA-Agent has demonstrated strong benchmark results, achieving high pass rates and significant speedups compared with compiler baselines such as torch.compile.
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  • 2
    Softaworks Agent Skills

    Softaworks Agent Skills

    A curated collection of skills for AI coding agents

    The Softaworks Agent Toolkit is a comprehensive collection of agent skills, commands, and sub-agents designed to augment AI coding assistants like Claude Code, Codex, and Cursor with practical workflow capabilities. It packages broad categories of modular skills that help with development automation, documentation creation, planning, architecture, testing, and soft professional workflows. Beyond simple skills, it also includes agents and CLI slash commands that help developers automate common tasks such as pattern finding, diagram generation, requirement drafting, and daily standup preparation. ...
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  • 3
    CoAI.Dev

    CoAI.Dev

    Next Generation AI One-Stop Internationalization Solution

    ...The app emphasizes cross-device conversation sync and sharing without requiring extra services like WebDAV, aiming to reduce setup friction for end users and increase retention for operators. It also includes advanced content rendering, with strong Markdown support for tables, code highlighting, LaTeX, and diagram-style outputs, so conversations can function like rich technical documents.
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  • 4
    LLM TLDR

    LLM TLDR

    95% token savings. 155x faster queries. 16 languages

    LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both...
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  • 5
    VibeKit

    VibeKit

    Run Claude Code, Gemini, Codex in a clean, isolated sandbox

    Vibekit is an open-source toolkit focused on rapid prototyping and building of AI-driven experiences, particularly those that integrate multimodal inputs, reactive interfaces, and context-aware behaviors. It provides a set of abstractions and utilities that let developers connect generative models to UI frameworks, sensors, event streams, and external services without having to build plumbing from scratch. Instead of treating AI models as black boxes behind simple prompts, Vibekit encourages...
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  • 6
    city-roads

    city-roads

    Visualization of all roads within any city

    city-roads is a data visualization and mapping project that renders street networks of cities as vector paths, offering an interactive, zoomable experience that highlights how cities are stitched together by their road infrastructure. It typically fetches open map data (such as from OpenStreetMap) and then processes that data into geometry suited for rendering in the browser, allowing users to explore intricate road layouts at various scales. The visual style often abstracts away labels and...
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  • 7
    PythonPark

    PythonPark

    Python open source project "The Road to Self-Study Programming"

    PythonPark is a large, curated “learning playground” for Python — essentially a comprehensive self-study meta-repository aimed at helping learners progress in Python programming, data science, machine learning, web scraping, and software engineering practices. It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. Because...
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  • 8
    Scientific Visualization

    Scientific Visualization

    An open access book on scientific visualization using python

    The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for...
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  • 9
    ByteHook

    ByteHook

    ByteHook is an Android PLT hook library

    ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system...
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    MongoDB Atlas runs apps anywhere

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  • 10
    Lingvo

    Lingvo

    Framework for building neural networks

    Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state...
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  • 11
    Nano Events

    Nano Events

    Simple and tiny (107 bytes) event emitter library for JavaScript

    Nano Events is a minimalistic, high-performance event emitter library for JavaScript. Its goal is to provide the simplest possible API to add pub/sub capabilities (emitters and listeners) to any JS object or application, while keeping overhead and bundle size extremely small. Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API...
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  • 12
    imgui_club

    imgui_club

    Nice things to use along dear imgui

    ...You’ll find examples that show how to structure multi-context rendering, deal with threading concerns, and compose immediate-mode UIs that remain responsive under load. The code emphasizes clarity and portability, so you can lift snippets directly into your own ImGui applications without heavy refactoring. Because the repo lives alongside Dear ImGui, it reflects current best practices and idioms for the framework rather than drifting into unrelated experiments. It also points to a broader ecosystem of community extensions, making it a hub for discovering higher-level widgets and specialized components.
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  • 13
    Best-websites-a-programmer-should-visit

    Best-websites-a-programmer-should-visit

    Some useful websites for programmers

    ...Because it spans beginner to advanced topics, you can use it as an on-ramp when starting out and as a roadmap for deeper specialization later. It also surfaces non-code essentials like productivity, writing, and career guidance, acknowledging that strong developers need more than syntax. The simple Markdown format makes it easy to browse, mirror, or fork, and the open contribution model keeps the list evolving as the ecosystem changes.
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  • 14
    3D Website with Three.js

    3D Website with Three.js

    The most impressive websites in the world use 3D graphics

    Project_3D_developer_portfolio is a code-repository and tutorial project that teaches how to build a developer portfolio website enhanced with 3D graphics and animations, using technologies like React, Three.js, React Three Fiber, Tailwind CSS, Vite and more. The idea is to help developers create “the most impressive websites” by blending immersive 3D scenes and interactive UI elements with modern web frameworks.
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  • 15
    Vision Transformer Pytorch

    Vision Transformer Pytorch

    Implementation of Vision Transformer, a simple way to achieve SOTA

    ...It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and attention dimensions. Because it stays close to vanilla PyTorch, you can integrate custom datasets and training loops without framework lock-in. It’s widely used as an educational reference for people learning transformers in vision and as a lightweight baseline for research prototypes. ...
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  • 16
    996.ICU

    996.ICU

    Repo for counting stars and contributing

    ...The project also fostered translations and international outreach, turning a regional issue into a worldwide conversation about humane work standards. Its simplicity—a README-driven campaign—showed how developer communities can advocate collectively. Beyond code, it stands as an example of using open repositories to coordinate social action in tech.
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  • 17
    type-challenges

    type-challenges

    Collection of TypeScript type challenges with online judge

    ...Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type system. The repository includes tests for each puzzle so you get immediate, compiler-driven feedback when your solution is correct. As a result, it doubles as both training material and a living reference for advanced patterns used in real libraries. ...
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  • 18
    RealWorld

    RealWorld

    Exemplary fullstack Medium.com clone powered by React, Angular, Node

    RealWorld is the “mother of all demo apps”—a full spec and starter backend/frontend that implements a Medium-like blogging platform to showcase best practices across many frameworks. Instead of trivial todo lists, it provides a realistic feature set: authentication, CRUD operations, pagination, comments, profiles, tagging, and favoriting. The same spec is realized dozens of times (React, Vue, Svelte, Angular, Solid, Next, Remix, and many more), alongside multiple server implementations, so...
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  • 19
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    ...Its north star is approachability and speed: you can boot a fresh GPU box and drive the whole pipeline via a single script, producing a usable chat model in hours and a clear markdown report of what happened. The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
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  • 20
    TensorStore

    TensorStore

    Library for reading and writing large multi-dimensional arrays

    TensorStore is a high-performance library for reading and writing N-dimensional arrays that live in many different storage systems, from local files to cloud object stores. It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. ...
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  • 21
    Flogger

    Flogger

    A Fluent Logging API for Java

    Flogger is a structured logging API for Java that decouples how you log from where logs ultimately go, making it easy to change backends without rewriting application code. Instead of building messages eagerly, it uses lazy parameter evaluation so expensive string building only happens when a log statement is actually emitted. The API encourages structured key–value context and fine-grained rate limiting, which helps keep logs informative without flooding systems during high-traffic or error storms. ...
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  • 22
    Granite 3.0 Language Models

    Granite 3.0 Language Models

    New set of lightweight state-of-the-art, open foundation models

    ...The repo positions the models for both research and commercial use under an Apache-2.0 license, signaling permissive adoption paths. Documentation highlights the capability mix (reasoning, tool use, code) and points to model artifacts and guidance for evaluation. Activity on the project shows an evolving codebase with open pull requests and standard GitHub project structure for issues and security visibility. In practice, this is a hub for acquiring Granite 3.0 variants and understanding how to integrate them into applications.
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  • 23
    Purple Llama

    Purple Llama

    Set of tools to assess and improve LLM security

    ...Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one of its flagship components, provides repeatable evaluations for security risk, including agent-oriented tasks such as automated patching benchmarks. The aim is to make safety practical: ship testable baselines, publish metrics, and provide drop-in implementations that reduce friction for teams adopting Llama. ...
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  • 24
    Synthetic Data Kit

    Synthetic Data Kit

    Tool for generating high quality Synthetic datasets

    ...It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data prep” bottleneck by turning dataset creation into a repeatable pipeline rather than ad-hoc notebooks. It supports generation of rationales/chain-of-thought variants, configurable sampling, and guardrails so outputs meet format constraints and quality checks. Examples and guides show how to target task-specific behaviors like tool use or step-by-step reasoning, then save directly into training-ready files.
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  • 25
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation...
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