Search Results for "hibernate-annotation"
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Showing 1310 open source projects for "hibernate-annotation"
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Hibernate
An object relational-mapping (ORM) library for Java
The Hibernate projects offer a suite of powerful Java libraries to work with data. It is best known for Hibernate ORM, which provides relational persistence for Java models and is an implementation of the Jakarta Persistence specification. Hibernate projects do not consistently release binaries or documentation to SourceForge anymore. For up-to-date information, refer to the Hibernate website: * Hibernate ORM: https://hibernate.org/orm/ * Hibernate Validator: https://hibernate.org/validator/ * Hibernate Search: https://hibernate.org/search/ That website will also be updated with newer projects, such as Hibernate Reactive. -
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labelme Image Polygonal Annotation
Image polygonal annotation with Python
Labelme is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation. -
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Computer Vision Annotation Tool (CVAT)
Interactive video and image annotation tool for computer vision
...The UX and UI were also specially developed by the team for computer vision tasks. CVAT supports several annotation formats. Format selection can be done after clicking on the Upload annotation and Dump annotation buttons. -
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doccano
Open source annotation tool for machine learning practitioners
doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence-to-sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours. -
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Doctrine Annotations
Annotations docblock parser
...Otherwise, please take a look to the other annotation autoload mechanisms. -
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Cluster
Easy Map Annotation Clustering
Cluster is an easy map annotation clustering library. This repository uses an efficient method (QuadTree) to aggregate pins into a cluster. Create an object that conforms to the MKAnnotation protocol, or extend an existing one. Next, add the annotation object to an instance of ClusterManager with add(annotation:). Implement the map view’s mapView(_:viewFor:) delegate method to configure the annotation view. -
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. ... -
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Kotlin Compile Testing
Testing Kotlin and Java annotation processors, compiler plugins
A library for in-process compilation of Kotlin and Java code, in the spirit of Google Compile Testing. For example, you can use this library to test your annotation processor or compiler plugin. -
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Prokka
Rapid prokaryotic genome annotation
Prokka is a command-line software tool for rapid annotation of prokaryotic genomes (bacteria and archaea). Given a FASTA file of contigs, it predicts genes, rRNAs, tRNAs, and other functional elements, then assigns functions by comparing to reference protein databases and HMM profiles. It outputs GenBank, GFF, and other formats compatible with downstream tools and genome browsers. Prokka handles common complications—overlapping ORFs, frameshifts, alternate start codons—while providing customizable databases so researchers can bias domain or strain-specific annotations. ... -
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Data Annotator for Machine Learning
Data annotator for machine learning
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. User management panel with role-based access control. -
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Label Sleuth
Open source no-code system for text annotation and building of text
An open-source no-code system for text annotation and building text classifiers. No AI knowledge needed. From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next. -
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Plannotator
Annotate and review coding agent plans visually, share with your team
Plannotator is an interactive plan review and annotation tool built to support AI coding agents, offering a visual UI for markup, refinement, and team collaboration around agent-generated plans. It allows developers to annotate proposed plans, sketches, and outlines from tools like Claude Code or OpenCode with pen tools, arrows, and highlighting, seamlessly capturing feedback that can be shared across teams or pushed back to agents. -
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serde_with
This crate provides custom de/serialization helpers
This crate provides custom de/serialization helpers to use in combination with serde's with-annotation and with the improved serde_as-annotation. -
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Segment Anything
Provides code for running inference with the SegmentAnything Model
...The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A bundled automatic mask generator can sweep an image and propose many object masks, which is useful for dataset bootstrapping or bulk annotation. The repository includes ready-to-use weights, Python APIs, and example notebooks demonstrating both interactive and automatic modes. Because SAM was trained with an extremely large and diverse mask dataset, it tends to generalize well to new domains, making it a practical starting point for research and production annotation tools. -
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Grails
Grails - the Web Application Framework
Grails is an open‑source, full‑stack web application framework built on the Groovy language and the Java platform. It emphasizes “coding by convention” to streamline development by reducing configuration, leveraging Spring Boot, Hibernate, and integrated DSLs for rapid productivity. Supports expressive DSLs for validation, querying, and view rendering. High‑productivity web framework adopting “coding by convention” paradigm. Rich IDE support across IntelliJ IDEA, Eclipse, Sublime, and NetBeans. Asynchronous and reactive programming support via Promises and RxJava. -
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Discourse Network Analyzer (DNA)
Discourse Network Analyzer (DNA)
The Java software Discourse Network Analyzer (DNA) is a qualitative content analysis tool with network export facilities. You import text files and annotate statements that persons or organizations make, and the program will return network matrices of actors connected by shared concepts. -
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Kotshi
An annotation processor that generates Moshi adapters
...It will automatically regenerate the adapters when you modify your class. It's made to work with minimal setup, through there are limitations. Most of the limitations will be addressed as the support for Kotlin annotation processors improves. -
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vcf2maf
Convert a VCF into a MAF
vcf2maf is a Perl-based tool developed by the Memorial Sloan Kettering Cancer Center to convert Variant Call Format (VCF) files into Mutation Annotation Format (MAF) files. This conversion standardizes variant annotations, facilitating downstream analyses in cancer genomics. -
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Diffgram
Training data (data labeling, annotation, workflow) for all data types
...This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This includes the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition. -
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ggforce
Accelerating ggplot2
ggforce is an extension package for ggplot2 that introduces specialized statistical transforms, geoms, and layout utilities to enhance and complement the built-in ggplot2 offerings. It enables more advanced visualization techniques such as faceting enhancements, hulls, annotation marks, and novel layouts for network data and marked regions. -
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Techniques
Techniques for deep learning with satellite & aerial imagery
This repository is a comprehensive, curated collection of deep learning techniques and best practices specifically applied to satellite and aerial imagery. It covers everything from preprocessing and annotation to model architectures and open datasets. The guide includes code snippets, links to research papers, and hands-on tools, making it valuable for researchers, engineers, and enthusiasts working in remote sensing and geospatial AI. -
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SmartSql
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis)
SmartSql is a lightweight, high-performance ORM for .NET inspired by MyBatis. It provides a hybrid approach that separates SQL from application code while supporting dynamic queries, mapping, and caching. With XML or annotation-based configuration, SmartSql is designed to balance control and productivity for .NET developers. -
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Argilla
The open-source data curation platform for LLMs
...Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. ... -
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Gitember 2
Gitember another git GUI client written on javafx
November, December, Gitember. Just another GIT gui client just for fun. Full-text search across history, including binary files. Search in open files. Add change annotation, and branch differences with item details. Add an overview for different components. Added LFS support. With SSH only. Fast file compare, the text flow changed to rich text fx. Mass operations - delete, stage, unstage, and revert. -
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GitLens
Supercharge Git inside VS Code and unlock untapped knowledge
GitLens, part of GitKraken’s legendary Git tools, is an open-source extension for Visual Studio Code. GitLens supercharges Git inside VS Code and unlocks untapped knowledge within each repository. It helps you to visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more. GitLens simply helps you better understand code. Quickly...
