Projects sharing features with DeepDanbooru

This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

Livestore is a reactive state management framework that utilizes a local SQLite database to store and synchronize application data. It provides an event-sourced state store that processes typed events through materializer functions to derive and persist application state. The framework implements offline-first data synchronization using a push-pull engine and append-only event logs to maintain consistency between clients and servers. It includes a real-time presence system for tracking user activity and shared session status across connected clients. The system covers a broad capability surf

waifu2x-caffe is a deep learning image upscaler and denoiser that uses the Caffe framework to increase image resolution and remove noise from illustrations and photographs. It functions as a neural network image processor that reduces compression artifacts and pixelation while maintaining visual clarity. The project provides specialized neural network weights optimized separately for 2D illustrations and real-world photographs. It includes distinct processing for alpha channels to preserve transparency and employs test-time augmentation to improve output precision. The tool supports both a c

SynapseML is an Apache Spark machine learning library designed for building and scaling machine learning workflows and data pipelines across distributed clusters. It serves as a distributed machine learning pipeline framework and a distributed inference engine for executing hardware-accelerated predictions and deep learning tasks on large-scale datasets. The project functions as a cloud AI integration layer, allowing users to apply pretrained artificial intelligence services for text, vision, and speech within distributed pipelines. It also includes a dedicated suite of tools for distributed

greenDAO is an object-relational mapping library for Android that maps Java objects to SQLite databases. It provides infrastructure for high-performance data persistence by translating data objects into database records and vice versa. The library implements a type-safe query builder for retrieving records across multiple entities using joins and relationship chaining. It also includes a security layer that provides full-disk encryption for the SQLite database to prevent unauthorized access to stored information. The system utilizes compile-time code generation to create mapping classes, avo

h2o-llmstudio is a language model training framework that provides a no-code graphical interface for fine-tuning large language models on custom datasets. It functions as a specialized tool for managing the training lifecycle, from configuring hyperparameters to monitoring performance metrics. The project distinguishes itself through a multi-GPU training orchestrator that distributes workloads via data parallel processing and a low-rank adaptation tool for memory-efficient fine-tuning. It also includes a model evaluation dashboard featuring an interactive chat interface to verify conversation

Grist is a relational spreadsheet platform that combines the flexibility of a spreadsheet with the power of a relational database. At its core, it manages structured data across multiple linked tables, using a relational database engine to organize information while providing a familiar grid interface. The platform supports Python-based formulas for complex calculations and data transformations, with automatic recalculation when referenced cells change. The system is designed for self-hosted deployment, storing data in either portable SQLite files or enterprise-grade PostgreSQL databases. It

labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for machine learning models. It functions as a desktop utility for drawing rectangular labels on images and saving object coordinates and class names in common machine learning formats. The tool is specifically designed to generate and edit PascalVOC formatted XML files and create image labels in the text-based format required by YOLO object detection pipelines. The software covers object detection annotation and training data preparation, including the ability to manage label catego

pkuseg-python is a Chinese word segmentation toolkit and natural language processing library. It provides specialized models for splitting Chinese text into words across various domains, including news, medical, and web content, and includes a tool for assigning grammatical parts of speech tags to segmented words. The library allows for the training of custom segmentation models using annotated datasets and supports the integration of user-defined dictionaries to ensure specialized terminology is recognized correctly. It employs a multi-threaded execution engine to process large volumes of Ch

Caffe2 is a high-performance deep learning framework and C++ machine learning library. It serves as a modular system for designing, training, and executing scalable neural networks. The project functions as an inference engine and a scalable neural network engine designed to run models across distributed systems and diverse hardware. Its architecture allows for the construction of custom neural network components that can be scaled from research to production environments. The framework covers the full lifecycle of deep learning development, including modular network architecture design, mod

Open-Instruct is a distributed training and instruction tuning framework for large language models. It functions as a coordinator for supervised fine-tuning, reinforcement learning from human feedback pipelines, and tool-use training, providing specialized roles for dataset curation and model alignment. The project distinguishes itself through a high-performance training architecture that utilizes actor-based distributed coordination and hybrid sharding to manage large GPU clusters. It implements advanced alignment techniques including direct preference optimization, group relative policy opt

SwiftOCR is a native Swift library designed for extracting text and alphanumeric characters from images. It functions as a neural network text recognizer that identifies characters and strings from visual data. The library includes a custom OCR model trainer and tools for custom font recognition. These capabilities allow for the generation of specialized neural networks tailored to specific fonts and character sets to improve recognition accuracy. The system utilizes connected-component labeling to identify individual character regions and employs image processing to convert short alphanumer

KotlinMvp is a short-video Android application developed with Kotlin. It utilizes the Model-View-Presenter architectural pattern to maintain a clear separation between business logic and the user interface. The project integrates a short-video playback interface that supports content discovery through category filtering and popularity rankings. It employs a Retrofit REST client for network communication and the RxJava reactive framework to manage asynchronous data streams and background tasks. Image loading and caching are handled via the Glide image loader. The application includes capabili

This project is a collection of official plugin packages and a native integration library designed to provide a consistent interface for accessing hardware and software functionality across different mobile and desktop platforms. It serves as a native platform bridge, enabling cross-platform applications to invoke native code and manage operating system dependencies. The project utilizes a federated plugin architecture, splitting plugins into common interfaces and separate platform implementations to allow for independent development and extension. It further supports native integration throu

This project is a deep learning text-to-speech toolkit used for training and deploying neural speech synthesis models. It provides a comprehensive framework for converting written text into spoken audio, utilizing neural vocoders to transform synthesized spectrograms into high-fidelity audio waveforms. The toolkit includes a voice cloning system that replicates specific human voices by extracting speaker embeddings from short audio samples. It also supports multi-speaker audio synthesis, allowing the generation of speech across different vocal identities using specialized model architectures.

This project is a disk-backed key-value store and persistent data structure library for Python. It provides a mechanism for persisting mappings, sets, and queues to the local filesystem to bypass memory limitations and cache expensive function results across threads and processes. The system serves as a cross-process synchronization tool, offering distributed locks, semaphores, and barriers to coordinate shared resource access. It implements advanced caching strategies such as probabilistic stampede prevention, sharded data partitioning to increase throughput, and least-recently-used eviction

MockingBird is an AI voice cloning tool and text-to-speech system designed to generate synthetic speech. It functions as a voice synthesis trainer for building custom models from audio datasets, a command-line generator for producing audio files, and a text-to-speech server for remote application integration. The project specializes in real-time voice cloning, which extracts vocal characteristics from short audio samples to mimic a target speaker's unique timbre. It utilizes reference-driven audio synthesis to condition pre-trained models on specific audio samples, allowing for the generation

Komga is a self-hosted digital comics and eBook server that organizes, serves, and streams CBZ, CBR, PDF, and EPUB files through a web interface. Built as a Java Spring Boot application with SQLite-based metadata storage, it provides multi-user access controls with individual reading progress tracking and supports the OPDS protocol for compatibility with third-party reader applications. The server distinguishes itself through comprehensive authentication options, including OAuth2 and OpenID Connect support with automatic account creation and email verification, alongside traditional cookie an

Lama is an image restoration framework and deep learning model designed for image inpainting and object removal. It provides the tools necessary to train and evaluate neural networks that fill masked areas and repair corrupted visual data. The system utilizes a Fourier convolution neural network to maintain global image structure and reconstruct periodic patterns. This architecture allows for resolution-independent inference, enabling the processing of high-resolution images without increasing memory or computational requirements. The project includes a synthetic dataset generator that creat

TodoApp is a task management web application designed for organizing and tracking pending items. It consists of a web-based interface and a REST API backend that handles business logic and data requests. The system includes an OAuth 2.0 identity provider for user authentication via passwords and external social providers, as well as an API gateway proxy that routes traffic from the frontend to the backend to prevent cross-origin resource sharing issues. Operational capabilities cover system observability through OpenTelemetry for collecting logs and metrics, request rate limiting to maintain

GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br

Isomorphic-git is a full implementation of the Git version control system written in JavaScript. It serves as a programmatic client library that allows developers to perform core version control operations without requiring a system-level Git binary installation. The library is designed as an isomorphic codebase, meaning it runs identically across both client-side web browser environments and server-side Node.js runtimes. It achieves this by using a filesystem-agnostic storage model and a pure JavaScript implementation of the Git core logic and the Smart HTTP protocol. The project covers a c

This library is a JavaScript plugin that enhances standard text input fields with real-time, predictive search suggestions. It functions as a reusable interface component that monitors user input to display dynamic dropdown menus, allowing for the selection of data from either local arrays or remote server endpoints. The plugin distinguishes itself through its ability to manage asynchronous data retrieval, utilizing request orchestration and debouncing to optimize network traffic. It provides granular control over the suggestion lifecycle and rendering, allowing developers to define custom HT

MovieSwiftUI is a movie discovery application built with SwiftUI that integrates with the MovieDB API to retrieve and display movie information, ratings, and metadata. It functions as a cross-platform Apple application, providing a consistent user experience across iOS and macOS from a single codebase. The project implements a reactive data flow using Combine to synchronize global application state with the user interface. It employs a unidirectional data flow and a centralized store to maintain a single source of truth across different screens and components. The application utilizes declar

This project provides a cloud-based notebook configuration for deploying a Stable Diffusion web interface. It functions as a specialized environment for image generation, incorporating a model trainer for fine-tuning weights and creating training datasets. The system emphasizes infrastructure persistence by saving software installations and model files to cloud storage, avoiding repetitive setups between sessions. It uses a tunnel-based interface to expose the web dashboard to a public URL for remote interaction. The project covers end-to-end AI workflows, including dataset preparation and t

HanekeSwift is a generic caching library for iOS and a specialized image caching framework. It provides a multi-level system that stores arbitrary data types in memory and on persistent disk storage to reduce network requests. The project features a specialized image handler that manages asynchronous loading, resizing, and disk storage for user interface components. It includes a background retrieval system that fetches remote content and automatically populates local caches. The library covers key-value data storage with sequential fallbacks, where it checks memory, then disk, and finally r