Search Results for "clear" - Page 11
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Showing 870 open source projects for "clear"
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1
Clair
Vulnerability Static Analysis for Containers
...Our goal is to enable a more transparent view of the security of container-based infrastructure. Thus, the project was named Clair after the French term which translates to clear, bright, transparent. -
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Fyne
Cross platform GUI in Go inspired by Material Design
...Add to this that the toolkit is open source, under the permissive 3 clause BSD license, and will always be freely available. You can be confident in a bright future of enjoyable app development. With a well crafted API, the clean looks of Material Design and clear documentation the Fyne toolkit is supporting a new generation of cross-platform app development. -
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Erigon
Ethereum implementation on the efficiency frontier
...Same true about: JSON RPC layer (RPCDaemon), p2p layer (Sentry), history download layer (Downloader), consensus. Don't start services as separated processes unless you have clear reason for it: resource limiting, scale, replace by your own implementation, security. How to start Erigon's services as separated processes, see in docker-compose.yml. -
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Vearch
A distributed system for embedding-based vector retrieval
...Through the module of the plugin, a complete default visual search system can be deployed just with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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InfiAgent
Build your own Cowork, AI Scientist and other SoTA Agents
...Designed as a “Multi-Level Agent” (MLA) system, it externalizes persistent state to the file system so that agents can operate over unlimited runtime without the need for token-intensive context compression, enabling workflows such as research paper drafting, experiments, coding, and document generation to run reliably. The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. It aims to solve real-world challenges in long-horizon reasoning and execution, offering configuration-driven customization so that users can define domain-specific agents like research assistants. -
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Learn Regex The Easy Way
Learn regex the easy way
...Rather than just being a reference sheet, it is designed to help you build understanding gradually: you start with the basics like literal matching, then advance through character classes, quantifiers, groups, alternation, lookaheads/lookbehinds, and more advanced regex features. Each lesson is accompanied by examples and clear explanations, so learners can experiment and immediately see results without needing external tools. The educational nature of the repository makes it ideal for people who want to master regex not through passive reading, but active experimentation. Because regex tends to be a feature that many developers struggle with — especially when dealing with edge cases — having a structured learning path helps build intuition gradually. -
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Zsh for Humans
A turnkey configuration for Zsh
Zsh for Humans is a turnkey Zsh configuration that aims to give users a powerful, feature-rich shell “that just works” out of the box. Instead of requiring you to pick and wire together many plugins and themes yourself, it bundles a curated set of Zsh plugins and settings into a coherent, production-ready configuration. The project handles prompt customization, completions, key bindings, history management, and Git integration for you, all tuned for responsiveness and low latency. It is... -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments... -
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guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
The guide-rpc-framework is a Java implementation of a Remote Procedure Call (RPC) framework built on Netty, Kyro (for serialization), and Zookeeper (for service discovery and coordination). It’s aimed primarily at learners and practitioners of distributed systems who want to see how you might build an RPC system from first principles rather than just use an existing library. The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load... -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
Lago is a study-oriented library of classic data structures and algorithms implemented in JavaScript with an emphasis on readability and learning. Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking... -
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verl
Volcano Engine Reinforcement Learning for LLMs
...The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. It ships with reference implementations of popular alignment algorithms and clear examples that make it straightforward to reproduce baselines before customizing. Data pipelines treat human feedback, simulated environments, and synthetic preferences as interchangeable sources, which helps with rapid experimentation. VERL is meant for both research and production hardening: logging, checkpointing, and evaluation suites are built in so you can track learning dynamics and regressions over time. -
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hithesis
LaTeX thesis template package for Harbin Institute of Technology
...It supports Chinese and English typesetting, sensible defaults for fonts, and modern engines like XeLaTeX for robust CJK support. Cross-references, numbering, and page layout are automated, reducing the risk of last-minute formatting errors before submission. Clear build instructions and commented examples help you slot in your content while keeping the required style intact. -
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RxDart
The Reactive Extensions for Dart
...The library aims to stay idiomatic with Dart Streams while giving developers the ergonomic power long associated with the ReactiveX family. In practice, it encourages clear separation between data producers, transformers, and consumers. -
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FL Chart
FL Chart is a highly customizable Flutter chart library
fl_chart is a charting library for Flutter that focuses on expressive, highly customizable data visualizations with smooth animations. It offers a broad set of chart types—line, bar, pie, scatter, and radar—each exposed through clear data/option models rather than imperative drawing. Interactive features like touch handling, tooltips, selection/highlighting, and panning help apps present insights rather than static images. The package pays special attention to aesthetics, with options for gradients, curved lines, stacked bars, rounded corners, custom tick formats, and flexible legends. ... -
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Laravel IDE Helper Generator
Complete PHPDocs, directly from the source
...This package makes use of Laravels package auto-discovery mechanism, which means if you don't install dev dependencies in production, it also won't be loaded. Avoid caching the configuration in your development environment, it may cause issues after installing certain packages; respectively clear the cache beforehand via php artisan cache:clear if you encounter problems when running the commands. Some classes need a working database connection. If you do not have a default working connection, some facades will not be included. You can use an in-memory SQLite driver by adding the -M option. If you need additional information on your model from sources that are not handled by default, you can hook in to the generation process with model hooks to add extra information on the fly. -
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Down
Streaming downloads using Net::HTTP, http.rb or HTTPX
Down is a small, reliable Ruby library for downloading files that favors correctness, streaming, and clear error handling. It follows redirects safely, supports timeouts and retries, and streams responses to disk to keep memory usage low—ideal for large downloads or server environments. The API returns file-like objects (often Tempfile) with helpful metadata such as original filename and content type, which plays nicely with file-attachment libraries and background jobs. -
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Foreman
Manage Procfile-based applications
...Exporters generate native service definitions (e.g., systemd/Upstart/launchd), enabling the same process topology to run under OS service managers in staging or production. Colorized, prefixed logs and simple signals (restart/stop) provide a clear operational experience for polyglot stacks. By codifying your app’s runtime composition, Foreman reduces “works on my machine” friction and keeps local setups close to deployment reality. -
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GitHub Profile README Generator
Generate GitHub profile README easily with the latest add-ons
...The tool aims to provide a hassle-free experience to add trending addons as profile visitors count, GitHub stats, dynamic blog posts, etc. The profile should be neat and minimal to give a clear overview of the work. Non-uniform icons, too much content, too many images/gifs distract visitors to see your actual work. To solve this, GitHub Profile README Generator came into existence. So many developers contributed to the project and made it more awesome to use. You can contribute too to make it grow even further. The profile README is created by creating a new repository that’s the same name as your username. ... -
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DragonianVoice
C++ inference library for multiple SVC/TTS
DragonianVoice is a C++ inference library that unifies multiple speech synthesis, voice conversion, and singing voice synthesis models under a single, high-performance ONNX-based framework. It focuses on being a reusable native library rather than a full UI product, with bindings for C, C++, and C# so it can be embedded into other applications or engines. The project supports a wide range of model families: TTS models such as Tacotron2, VITS, EmotionalVITS, BERTVits2, GPT-SoVITS, SVC systems... -
20
ws
Tiny WebSocket library for Go
...High-level wrappers and helpers around API in wsutil package, which allow to start fast without digging the protocol internals. Existing WebSocket implementations do not allow users to reuse I/O buffers between connections in clear way. This library aims to export efficient low-level interface for working with the protocol without forcing only one way it could be used. Library is tagged as v1* so its API must not be broken during some improvements or refactoring. Example applications using ws are developed in separate repository ws-examples. We can apply the same pattern to read and write structured responses through a JSON encoder and decoder.Zero-copy upgrade helps to avoid unnecessary allocations and copying while handling HTTP Upgrade request. -
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Clara Rules
Forward-chaining rules in Clojure(Script)
Clara Rules is an expressive, forward-chaining rules engine written in Clojure (and ClojureScript), designed to let developers encapsulate domain logic cleanly and declaratively using rules defined as code rather than domain-specific languages—while supporting Java interoperability. Clara is a forward-chaining rules engine written in Clojure(Script) with Java interoperability. It aims to simplify code with a developer-centric approach to expert systems. Clara is built, tested, and deployed... -
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Amazon DocumentDB JDBC Driver
Amazon DocumentDB JDBC driver to connect from BI tools and execute SQL
The JDBC driver for the Amazon DocumentDB managed document database provides an SQL-relational interface for developers and BI tool users. The Amazon DocumentDB JDBC driver can perform automatic schema discovery and generate an SQL to DocumentDB schema mapping. See the schema discovery documentation for more details of this process. Follow the requirements and setup directions to get you environment ready to use the Amazon DocumentDB JDBC driver. Assuming your Amazon DocumentDB cluster is... -
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opc-methodology
The second edition of "One-person Enterprise Methodology"
opc-methodology is a structured framework for designing, organizing, and executing AI-driven workflows using prompt-based systems. It focuses on breaking down complex AI tasks into clear stages that improve reliability, reproducibility, and clarity when working with language models. The methodology emphasizes defining objectives, processes, and constraints explicitly, ensuring that AI outputs are guided by structured reasoning rather than vague prompts. It is particularly useful for building consistent workflows in areas such as content generation, automation, and decision support. ... -
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Machine Learning Notebooks
Machine Learning Notebooks
Machine Learning Notebooks is an open-source collection of machine learning notebooks designed to provide practical, minimal, and reusable implementations of common AI tasks across different domains. The project focuses on delivering concise, well-structured Jupyter notebooks that demonstrate how to build, train, and evaluate models using modern machine learning frameworks such as PyTorch. Each notebook is intentionally lightweight, avoiding unnecessary complexity so that users can easily... -
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Uneebee
Platform for creating interactive courses
...Background jobs, caching, and pagination patterns are laid out in a way that scales from small communities to heavier usage. The codebase emphasizes maintainability with clear contexts, test coverage, and a straightforward deployment story. As a learning resource, it helps teams see how to stitch together Phoenix primitives into a cohesive, production-leaning application.
