Search Results for "can" - Page 19
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Showing 1964 open source projects for "can"
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Folly
An open-source C++ library developed and used at Facebook
...Folly contains a variety of core library components used extensively at Facebook. In particular, it's often a dependency of Facebook's other open source C++ efforts and place where those projects can share code. It complements (as opposed to competing against) offerings such as Boost and of course std. In fact, we embark on defining our own component only when something we need is either not available, or does not meet the needed performance profile. We endeavor to remove things from folly if or when std or Boost obsoletes them. ... -
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CuPy
A NumPy-compatible array library accelerated by CUDA
...It consists of cupy.ndarray, a core multi-dimensional array class and many functions on it. CuPy offers GPU accelerated computing with Python, using CUDA-related libraries to fully utilize the GPU architecture. According to benchmarks, it can even speed up some operations by more than 100X. CuPy is highly compatible with NumPy, serving as a drop-in replacement in most cases. CuPy is very easy to install through pip or through precompiled binary packages called wheels for recommended environments. It also makes writing a custom CUDA kernel very easy, requiring only a small code snippet of C++. -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
...By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly discover reputable and well-maintained repositories. This way one can survey state-of-the-art projects, find learning resources, or pick stable libraries for production — without manually sifting through hundreds of repos. The repository is openly licensed under MIT, making it easy to fork, extend, or contribute updates (e.g. adding newer projects or reordering by recent popularity). -
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Zsh for Humans
A turnkey configuration for Zsh
...The project handles prompt customization, completions, key bindings, history management, and Git integration for you, all tuned for responsiveness and low latency. It is designed to feel like a finished product rather than a DIY starter kit, so new users can get a high-quality shell experience with a single install command. At the same time, it provides escape hatches and configuration points so advanced users can layer their own aliases, functions, and styles on top of the base setup. The maintainer notes that the project now has limited support and few new features planned, but the existing feature set is already extensive and stable for everyday use. -
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Resurrecting Project in LinUtil
Automated Arch Linux Install
...The script is popular among users who want an Arch-based environment tuned for desktop use without stepping through every command manually. It also provides a useful learning tool, since users can study the install scripts to understand how a repeatable Arch setup is orchestrated. -
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react-error-boundary
Simple reusable React error boundary component
...It wraps React’s error-handling primitives in a single <ErrorBoundary> component with a predictable API for rendering fallbacks when descendant components throw during render, lifecycle, or event handlers. The library emphasizes recovery, not just failure: you can reset the error state programmatically or when certain “reset keys” change, returning the subtree to a healthy state without a full page refresh. It supports both declarative fallbacks (elements) and a render-prop approach so you can tailor the UI to the error and provide retry buttons or diagnostics. Callbacks make it easy to log errors to your own telemetry, show toasts, or trigger side effects when boundaries trip or reset. ... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work. -
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
...It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. It supports scenarios such as nested objects, graphs of entities, and action types with input/output constraints, which makes it suitable for rich metadata authoring and linked-data workflows. ... -
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Starter Applets
Google AI Studio Starter Apps
...Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue. -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
...The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility. -
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Floem
A native Rust UI library with fine-grained reactivity
Floem is a cross-platform GUI framework for Rust. It aims to be extremely performant while providing world-class developer ergonomics. Supporting both GPU and CPU rendering, Floem gives you performance that's closest to bare metal. Also primitives are provided to help the developer to write performant UI code without too much effect. -
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libgphoto2
The libgphoto2 camera access and control library
libgphoto2 is a library that can be used by applications to access various digital cameras. libgphoto2 itself is not a GUI application, as opposed to gphoto. There are GUI frontends for the gphoto2 library, however, such as gtkam for example. libgphoto2 can only talk to cameras the language of those it understands. That is, if you own a camera that speaks a language that isn't published anywhere and nobody has been able to figure out the meaning of the sentences, libgphoto2 cannot communicate with those cameras. ... -
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Kotlin Dataframe
Structured data processing in Kotlin
Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data wrangling which is the process of transforming and mapping data from one "raw" data form into another format that is more appropriate for analytics and visualization. ... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
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DSharpPlus
A .NET Standard library for making bots using the Discord API
...If you want to use the latest features on Discord, you should use the nightlies Despite the nature of pre-release software, all changes to the library are held under a level of scrutiny; for this library, unstable does not mean bad quality, rather it means that the API can be subject to change without prior notice (to ease rapid iteration) and that consumers of the library should always remain on the latest version available (to immediately get the latest fixes and improvements). You will usually want to use this version. The latest stable release is always available on NuGet. Stable versions are released less often, but are guaranteed to not receive any breaking API changes without a major version bump. -
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Metro 4
Impressive component library for expressive web development
...Using Metro 4 is very easy, you don't even need to know javascript to make fully functional websites that interact with the user. Metro 4 is an open source project. You can access to full source code on the GitHub and get Metro 4 with free license. Metro 4 is accessible in various ways. You can get Metro 4 from NPM, Nuget, GitHub, and GitLab. Metro 4 is an open source toolkit for developing with HTML, CSS, and JS. Quickly prototype your ideas or build your entire app with responsive grid system, extensive prebuilt components, and powerful plugins. ... -
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react-teleporter
Teleport React components in the same React tree
...It is designed for complex layouts where a page needs to configure areas such as headers, status bars, toolbars, or footers. Developers create a teleporter that exposes Source and Target components, then place each one where its responsibility belongs. Targets can render as different elements, receive forwarded props, or use a custom target reference. An optional multi-source mode combines content from several sources inside one destination. Function children and React Portal support provide additional control while preserving a simple API centered on the createTeleporter function. -
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Marble Skill Taxonomy
Structured taxonomy of what children learn across the primary years
...Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. It aligns micro-topics to national curriculum standards such as NGSS, Common Core, and the UK National Curriculum. It is useful for learning platforms, curriculum tools, tutoring systems, assessment products, and education research projects. -
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PaperSpine
Motivation-driven skill for learning from strong academic papers
PaperSpine is a motivation-driven writing skill suite for academic papers, reports, reviews, and technical manuscripts. It is built for AI tools such as Codex, Claude Code, and OpenClaw, where the agent can follow structured writing workflows. The project asks the agent to study target formats and strong examples before drafting or revising. It emphasizes the central motivation of a paper, helping writers connect claims, structure, evidence, citations, and revisions into a coherent argument. The suite includes specialized skills for research, citation, rewriting, LaTeX, auditing, translation, humanization, and updates. ... -
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Rust
Rust tools, libraries
...It is not a single product with one narrow feature set, but a collection of reusable Rust code organized around the author’s development workflow. The repository is designed to work with the author’s Flow task runner, which provides setup, task discovery, and deployment commands. Some utilities can be compiled and installed into the user’s local path through project-specific deploy commands. The project is useful as a reference for how a developer organizes practical Rust tooling across many small programs. Its main value is as a living toolkit for experimentation, automation, and personal productivity in the Rust ecosystem. -
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Garden Skills
ConardLi's open-source Skills collection, featuring web design
Garden Skills is a collection of modular AI skills designed to enhance agent workflows through structured and reusable capabilities. It focuses on organizing skills as composable units that can be combined to solve complex tasks efficiently. The repository emphasizes maintainability and scalability, allowing developers to build systems that evolve over time like a growing “garden” of capabilities. Each skill encapsulates a specific function, making it easier to reuse across projects and contexts. The system supports integration with agent frameworks, enabling automation and orchestration of tasks. ... -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
...This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
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GraalPy
A Python 3 implementation built on GraalVM
GraalPy is a high-performance implementation of the Python language for the JVM built on GraalVM. GraalPy is a Python 3.11 compliant runtime. It has first-class support for embedding in Java and can turn Python applications into fast, standalone binaries. GraalPy is ready for production running pure Python code and has experimental support for many popular native extension modules. -
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Going.Plaid
Plaid API .NET library
Going.Plaid is a library for interacting with Plaid's banking APIs. See their documentation here. It is supported for .net standard 2.0, .net core 3.1, and .net 5.0+. -
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HaishinKit
Camera and Microphone streaming library via RTMP and SRT for iOS, Mac
Camera and Microphone streaming library via RTMP and SRT for iOS, macOS, tvOS and visionOS.