Search Results for "no code" - Page 43
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8538 projects for "no code" with 1 filter applied:
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SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow
...It also employs connectionist temporal classification (CTC) to align predicted character sequences with input images without requiring character-level segmentation. The repository provides code for training models, performing inference on handwritten text images, and evaluating recognition accuracy. SimpleHTR is commonly used as an educational example for understanding how modern handwriting recognition systems operate. -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. Developers can configure different search providers and language models through environment variables, making it flexible for experimentation and prototyping. -
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Neuron AI
The PHP Agentic Framework to build production-ready AI driven apps
...The framework provides an Agent class that can be extended to inherit core capabilities like memory, tools, function calling, and retrieval-augmented generation. Its design is modular, so developers can swap model providers with minimal changes to their application code, which makes it practical for teams that need flexibility across vendors. The project also supports structured output, monitoring, MCP connectivity, and workflow patterns that include human-in-the-loop intervention when automated flows need review or correction. -
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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... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Hugging Face Skills
Definitions for AI/ML tasks like dataset creation
...Each skill is a self-contained folder with structured metadata and guidance that tells an agent how to execute tasks such as dataset creation, model training, evaluation, or Hub operations. The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex, Gemini CLI, and Cursor, making it a cross-platform building block for agent automation. By formalizing best practices and workflows, Skills helps transform general-purpose coding agents into domain-aware assistants that can execute complex ML pipelines with less manual prompting. The repository also includes ready-to-use skills for common Hugging Face operations and encourages teams to extend them with custom domain logic. -
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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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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate... -
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GopenPGP V3
A high-level OpenPGP library
GopenPGP V3 is a high-level OpenPGP cryptographic library developed by ProtonMail that provides a user-friendly API for common encryption and signing operations in Go, abstracting the complexity of the underlying OpenPGP standards and golang crypto primitives. This library lets developers perform key generation, message encryption and decryption, digital signing, and signature verification with straightforward functions that hide much of the boilerplate and nuance typically required when... -
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Anthropic SDK TypeScript
Access to Anthropic's safety-first language model APIs
anthropic-sdk-typescript is the TypeScript / JavaScript client library for the Anthropic REST API, enabling backend or Node.js usage of models like Claude. It wraps API endpoints for creating messages, streaming responses, and managing parameters in a type-safe TS environment. The library is designed for server-side use, interfacing with REST, and is stable for integration in web services or backend agents. Example usage shows how to instantiate the Anthropic client, call... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Whoops
PHP errors for cool kids
Whoops is a PHP library that improves the debugging experience by handling uncaught exceptions and presenting beautiful error pages. Instead of a cryptic “fatal error,” Whoops catches the exception and renders a detailed stack trace with syntax-highlighted code snippets, variable values, and clickable frames to navigate between calls. It can be integrated into frameworks or standalone scripts so developers consistently get readable, informative pages during development. Beyond error pages, Whoops supports custom handlers, logging, and filtering so exceptions can be gracefully transformed or reported. ... -
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APNGKit
High performance and delightful way to play with APNG format in iOS
The APNGKit project is a high-performance framework for loading, displaying, and animating images in the UIKit / AppKit ecosystem (iOS, macOS, tvOS), specifically targeting the APNG (Animated PNG) image format. Unlike traditional static PNG images, APNG supports frame-by-frame animation with full-color images and transparency — yielding better visual fidelity than GIFs while remaining efficient. APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the... -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
...It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition. -
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Optopsy
A nimble options backtesting library for Python
...The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. ... -
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Diagram Design
Thirteen editorial diagram types for Claude Code. Self-contained HTML
Diagram Design is a curated resource that provides guidelines and inspiration for creating clear and effective diagrams. It focuses on improving communication through visual design principles such as hierarchy, alignment, and clarity. The project includes examples and best practices for designing diagrams used in presentations, documentation, and product design. It helps users understand how to structure information visually to enhance comprehension. The repository emphasizes simplicity and... -
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SnapKit
A Swift Autolayout DSL for iOS & OS X
SnapKit is a Swift DSL that simplifies Auto Layout for iOS and macOS. It uses expressive chaining syntax to create layout constraints in code more cleanly and concisely than native APIs. Compatible with Swift Package Manager, CocoaPods, and Carthage—used extensively in iOS/macOS UI development. -
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Shapeless
Generic programming for Scala
...It provides features such as HLists (heterogenous lists), generic derivation of type class instances, dependent types, and polymorphic functions—allowing developers to write boilerplate-free, type-safe code. -
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Helium
Lighter web automation with Python
Helium is a Python library built on top of Selenium to make browser automation more intuitive and human-friendly. It replaces verbose boilerplate code with natural language-like API calls such as click("Login") or write("hello", into="Name"). Helium manages browser setup, waits, and teardown, enabling quick development of scripts for testing, scraping, or task automation without requiring deep Selenium knowledge. -
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Symfony ErrorHandler
Provides tools to manage errors and ease debugging PHP code
Symfony ErrorHandler is a component that handles and logs PHP errors and exceptions in a structured way. It replaces PHP's default error handling with a more user-friendly and informative system. The component provides detailed error pages for development environments while ensuring minimal disruption in production. It integrates seamlessly with Symfony applications and supports custom error pages. -
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GOV.UK Vue
A Vue 3 component library for GOV.UK Frontend and the GOV.UK Design
GOV.UK Vue is a Vue 3 component library for GOV.UK Frontend. It enables you to build Vue apps based on the GOV.UK Design System. -
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Cloud Storage FUSE
A user-space file system for interacting with Google Cloud Storage
Cloud Storage FUSE is an open-source user-space file system adapter that allows Google Cloud Storage buckets to be mounted and accessed as if they were local file systems on a machine. This approach enables applications to interact with cloud storage using standard file system semantics, eliminating the need to rewrite code to use object storage APIs directly. The tool is particularly valuable in data-intensive workflows such as machine learning, where large datasets can be accessed on demand without requiring full local downloads. It supports performance optimizations like file caching, which stores frequently accessed data on local storage to significantly improve throughput and reduce latency. ... -
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wombat
Lightweight Ruby DSL for scraping structured data from web pages
Wombat is a lightweight web crawling and scraping library written in Ruby that focuses on extracting structured data from web pages using a concise domain-specific language (DSL). It is designed to simplify the process of defining how information should be collected from HTML documents without requiring large amounts of scraping boilerplate code. Developers can declare the data fields they want and specify selectors or rules for retrieving them, allowing Wombat to parse and return structured results. The DSL approach helps make scraping definitions more readable and maintainable, especially when dealing with multiple fields or nested data structures. Because it is implemented as a Ruby library, it integrates easily into Ruby applications and scripts that need to gather information from web pages. ... -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
...HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. The database compiles queries into optimized machine code that executes efficiently on GPU hardware, significantly accelerating analytical workloads. It supports hybrid deployment environments where queries can run on both CPU and GPU architectures depending on the available resources. -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
...The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets, train models, evaluate performance, and deploy inference services. The repository organizes these concepts into modular Python scripts that follow software engineering best practices such as testing, configuration management, logging, and version control. ... -
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ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
ModernBERT is an open-source research project that modernizes the classic BERT encoder architecture by incorporating recent advances in transformer design, training techniques, and efficiency improvements. The goal of the project is to bring BERT-style models up to date with the capabilities of modern large language models while preserving the strengths of bidirectional encoder architectures used for tasks such as classification, retrieval, and semantic search. ModernBERT introduces... -
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Awesome LLM Apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI
...The list spans a wide range of categories including productivity tools, creative assistants, utilities, education platforms, research frameworks, and niche vertical apps, showcasing how generative models are being used across domains. Each entry includes a brief description, language model dependencies, technology stack notes, and sometimes links to demos or source code, making it easy to explore ideas and reuse concepts for your own projects. Because the landscape of LLM-powered applications changes quickly, the repository is designed to be updated regularly through community contributions, ensuring it stays current with new tools and releases.
