Search Results for "active appearance models"
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Showing 25 open source projects for "active appearance models"
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Avo Framework
Build Ruby on Rails apps 10x faster
Avo is a very custom Admin Panel Framework, Content Management System, and Internal Tool Builder for Ruby on Rails that saves engineers and teams months of development time. -
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NHibernate
NHibernate Object Relational Mapper
NHibernate is a mature, open-source object-relational mapper for the .NET framework. It's actively developed, fully featured, and used in thousands of successful projects. Easily map regular C# or VB.NET object models designed in Visual Studio. No special base classes or attributes are needed. Fully supports inheritance, components, and enums. Generates database tables from your domain models. Supports all popular relational databases. Supports the most complex legacy scenarios. Full-Text Search. Cluster-scoped caching with Microsoft Velocity & Memcached. ... -
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glutin
A low-level library for OpenGL context creation
Glutin is a low-level library written in Rust that provides an interface for creating OpenGL contexts and handling windowing, events, and input. It serves as a foundational component for developing cross-platform graphical applications in Rust, offering developers the flexibility to build upon its abstractions for custom rendering solutions. -
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GoJS
JavaScript diagramming library for interactive flowcharts & org charts
Build interactive flowcharts or flow diagrams. Let your users build, modify, and save diagrams with JSON model output. Visualize state charts and other behavior diagrams. Create diagrams with live updates to monitor state, or interactive diagrams for planning. GoJS allows considerable customization of links and nodes to build all kinds of diagrams. Visualize flow, or connect pipes. Create genogram and medical diagrams, or editable family trees with collapsible levels. Create classic org... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Netty
An event-driven asynchronous network application framework
Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a... -
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chinese-independent-developer
List of independent developer projects in China
...The repository has attracted a substantial community, with many contributors helping to add, refine, and maintain entries over time. It also acts as a historical snapshot of the Chinese indie dev ecosystem, preserving projects even after they have stopped active development. For new indie creators, the list works as inspiration and a benchmark, illustrating a spectrum of product ideas, niches, and business models that others have tried. -
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UoMASM
A C++ Active Shape Model Library from the University of Manchester
A library and associated tools for building and searching with Active Shape Models (ASM). It builds on the VXL computer vision libraries. Includes a GUI tool to search new images with the ASM. Depends on: VXL, Qt (Version 4), UoMqVXL -
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ConceptBase.cc
A Database System for Metamodeling and Method Engineering
ConceptBase.cc is a multi-user deductive and object-oriented database system for metamodeling and method engineering. Includes a graphical client that builds upon the logic-based features of the ConceptBase.cc server. The data model is O-Telos. ConceptBase.cc can represent information at the data level (example data, traces of process executions etc.), the class level (schemas, process definitions etc.), the metaclass level (constructs of modeling languages), the meta-metaclass level... -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency. -
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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react-native-progress
Progress indicators and spinners for React Native
react-native-progress is a set of customizable progress indicators and spinners for React Native applications. It provides several visual components—such as circular, pie, bar, and semi-circle progress indicators—built on top of react-native-svg so they render as vector graphics. This approach ensures that progress indicators scale cleanly across different screen densities and sizes while remaining smooth and visually appealing. The library is designed to be simple to use: developers import... -
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prismane
Prismane is an innovative have-it-all React UI library.
Prismane is a versatile have-it-all React UI library that offers a rich collection of hooks, components, and form validators, making it easy to bring your visions to life. Prismane comes with a stunning out-of-the-box design, ensuring a beautiful and polished appearance for your applications from the get-go. Additionally, Prismane boasts seamless TypeScript support, enabling type-safe and error-free coding experiences. For those favoring darker interfaces, Prismane offers prebuilt Dark... -
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learn2learn
A PyTorch Library for Meta-learning Research
Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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DeepMind Research
Implementations and code to accompany DeepMind publications
This repository collects reference implementations and illustrative code accompanying a wide range of DeepMind publications, making it easier for the research community to reproduce results, inspect algorithms, and build on prior work. The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics,... -
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Baselines
High-quality implementations of reinforcement learning algorithms
Unlike the other two, openai/baselines is not currently a maintained or prominent repo in the OpenAI organization (and I found no strong reference in OpenAI’s main GitHub). Historically, “baselines” repositories are often used for baseline implementations of reinforcement learning algorithms or reference models (e.g. in the RL domain). If there was an OpenAI “baselines” repo, it might have contained reference implementations for reinforcement learning or model policy baselines to compare new work against. However, I couldn’t locate an active “openai/baselines” in the latest OpenAI repos, so it may have been archived, removed, or merged into other projects. ... -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. ... -
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MLBox
MLBox is a powerful Automated Machine Learning python library
...Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone. -
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MBCalendarKit
An open source calendar framework for iOS
MBCalendarKit is a customizable calendar component for iOS, allowing developers to easily add interactive calendar views to their apps. Inspired by Apple’s Calendar app, it provides day, week, and month views with support for events and appointments. The library is designed to be flexible and easily adaptable to different app designs. -
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CitLab
Combinatorial Interaction Testing Laboratory
Although the research community around combinatorial interaction testing has been very active for several years, it has failed to find common solutions on some issues. First of all, there is not a common abstract nor concrete language to express combinatorial problems. Combinatorial testing generator tools are strongly decoupled making difficult their interoperability and the exchange of models and data. In this project, we propose an abstract and concrete specific language for combinatorial problems. ... -
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Caffe Framework
Caffe, a fast open framework for deep learning
...Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. ... -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. ... -
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FAST Simulations
An Open source Analysis and SImulation Toolbox for Fuel Cells
...Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and developer, David B. Harvey. Features of FAST-fc include transport of gases and liquids, multi-step reaction kinetics, transient and steady state operation for performance and durability, and scalable dimensionality from 1D - 3D domains. Future development work is on-going in FAST-fc and our strategic development schedule includes membrane degradation, improved liquid water transport models through the application of pore networks, and extension to stack-level simulation. -
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GambleKit
C++ Framework for slot machine games
GambleKit is a free open-source C++ object oriented library for quick and easy building of slot machine and gambling games with reels and GUI management. It relies basically on declarative programming style, so the programmer needs simply to declare, for example at creation time, the basic layout and behavior of the game, and then leave the game flow, requiring as little additional intervention as possible. The project is welcoming contributors and feedback is appreciated! The next... -
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nacho
Python micro web-framework and asynchronous networking library
...Because it encourages consistency among services, teams can spin up new microservices with a shared structure and skip repetitive setup. Though the repository may be less active than some major frameworks, it serves as a valuable jump-start for projects where speed and uniformity matter. -
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This SolidWorks tool is used for calculating Laser/Plasma bounds, thickness, number of pierces, materials and labour costs, quanties etc... from active 3D models.
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When using very large tree structures( over 300,000 treenodes ) FlexiTree solves rendering problems by rendering the tree in one single Swing component. Even for small tree models, altering the visual appearance of your FlexiTree couldn\'t be simpler
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