8303 projects for "code" with 1 filter applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    Russh

    Russh

    Rust SSH client & server library

    ...The API is designed to be explicit and composable, making it possible to implement custom behaviors like reverse tunnels, interactive shells, and service multiplexing. Because performance and safety are central, the code leverages Rust’s type system to reduce classes of runtime errors common in network protocol implementations. The project also includes examples and discussion threads that show how other tools integrate it for web-based clients or gateway services. For teams building terminals, proxies, or embedded management planes, it offers a robust foundation without shelling out to external binaries.
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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  • 5
    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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  • 6
    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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  • 7
    cast

    cast

    safe and easy casting from one type to another in Go

    Cast is a Go library that provides easy and safe conversion (casting) between different types in Go programs. Especially when dealing with interface{} or dynamic/reflect-heavy code, it becomes cumbersome to assert types or convert values reliably; cast addresses that by offering a suite of functions to convert from any input to the target type with predictable behaviour. Rather than relying purely on raw type assertions, it offers ToInt, ToString, ToBool, ToTime, etc., and their “error-returning” counterparts like ToIntE. ...
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  • 8
    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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  • 9
    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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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini 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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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    Visual Blocks

    Visual Blocks

    Visual Blocks for ML is a Google visual programming framework

    Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. ...
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  • 14
    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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  • 15
    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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  • 16
    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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  • 17
    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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  • 18
    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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  • 19
    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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  • 20
    Animated Drawings

    Animated Drawings

    Code to accompany "A Method for Animating Children's Drawings"

    AnimatedDrawings is a framework that converts user sketches or line drawings into fully animated 2D motion sequences using learned motion priors. The idea is that you draw a simple static figure (stick figure, silhouette, or contour lines), and the system produces plausible skeletal motion (walking, jumping, dancing) that adheres to the drawn shape constraints. The architecture separates shape embedding (to understand user-drawn geometry) from motion embedding / generation (to produce...
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  • 21
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    ...The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or post-processing modules (e.g. mesh smoothing, texturing) to make the outputs more output-ready. Because 3D generation is hardware‐intensive, the repository likely also includes optimizations like quantization, pruning, or inference accelerations (e.g. using FlashMLA or DeepEP) to make the generation pipeline faster or more efficient. ...
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  • 22
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    ...The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes.
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  • 23
    LaTeX Examples

    LaTeX Examples

    Examples for the usage of LaTeX

    LaTeX-examples is a repository collecting a variety of example documents and snippets demonstrating LaTeX features, usage patterns, and common templates. It acts as a playground for learning LaTeX syntax, macros, formatting tricks, and document structuring practices. Files include sample articles, reports, book chapters, presentations (using Beamer), tables, mathematical typesetting examples (equations, aligned systems, integrals, matrices), custom macros, and styling. The project is useful...
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  • 24
    VibeSDK

    VibeSDK

    Open source full-stack AI vibe coding platform & web app generator

    ...Users describe the application they want in natural language, and the system generates, previews, and deploys the resulting web app. It uses Cloudflare’s infrastructure (Workers, Containers, sandboxes). It can run untrusted code safely, provide live previews, and deploy apps at scale. VibeSDK gives you the exact methodology, tools, and confidence to turn your ideas into revenue-generating products, faster than you thought possible. Live preview of generated apps in isolated sandbox containers. Support for React + TypeScript + Tailwind generation, backend routing, and modern web stack scaffolding.
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  • 25
    PLT (Programming Languages Theory)

    PLT (Programming Languages Theory)

    Programming Language Theory

    Curated roadmap to Programming Language Theory, collecting seminal papers, books, and resources into a navigable structure for self-study. It spans foundational topics like lambda calculus, type systems, interpreters, compilers, and formal semantics, while also pointing to contemporary areas such as effect systems, dependent types, and verification. Each section clusters materials by theme so learners can build understanding step by step instead of grazing at random. The list emphasizes...
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