Search Results for "active shape model" - Page 8
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Showing 219 open source projects for "active shape model"
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This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
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SciChart
Interactive Swing based Charting library to display science data
This free charting library supporting in the initial version line plot and bar plots. Provides: Axis sharing independent rescaling and panning of axis and datasets. Basic tooltips Legend displayer component with ability to select the active dataset. It is designed upon the Model View Controller paradigm. This mean that the dataset related API is abstracted in a model. This model is used by the swing components. Display related functionality is limited to the swing components with no interaction with the model. -
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**Decrepit notice** This project is now being replaced by a much snazzier platform that integrates QGIS and GMSH. See https://launchpad.net/meshing for further details. Project goal is to generate a toolkit for 2D and 3D bathymetric mesh generation via an anisotropic adaptive mesh method. Emphasis is on approximation with clearly defined error goals so that the final model is quantitatively useful.
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Checks given webpages for backlinks and scans for image links and keywords. Uses DOM-based methods to scan for backlinks, which are more sophisticated than simple text scanning (one example: they ignore commented out source code).
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QtCritters
Simple Qt/C++ Project for learning simulation programming.
QtCritters is a simple critter simulation in C++ using Qt, currently under development. The goal of this project is to simulate a simple ecology of various kinds of animals, and to make the source easy to understand and modify. Still very very alpha... -
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Cacoj is a Creol language tool set to deploy active concurrent objects onto multicore technology. It provides a Creol to Java compiler to map asynchronous concurrent model of Creol into Java concurrent facilities.
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Various quantitative finance algorithms in areas related to asset allocation and portfolio simulation. Includes Black-Litterman model, State/Preferencem Interior points, and Active Set quadratic optimization.
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Surface Defects Analyzer is the project of control system implementation which is used for detecting and measurement of geometric parameters of surface defects based on stereo images processing.
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Ve3D Avenger
3D model viewer and world navigator.
Ve3D Avenger is a VRML/Open Inventor 3D model viewer and world navigator. It's a scene composition program and an animated sequence creator that supports active stereo display. It is a fork of the Ve3D project that uses Qt3 for its GUI. -
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Ve3D is a VRML/Open Inventor model viewer. It's an scene composition program since it has tools to manipulate and hide models. It supports active stereo display.
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Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.
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BrokenFinger is a collection of demo 3D programs showing latest implementation in the areas of: Document Object Model, GPU Bound Processing, and Procedural Modeling(e.g. CGA Shape).
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GUI for game development. Written on Python. Model-View-Controller interface. Powerfull skinning support. Now under active development.
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Arch Linux
A simple, lightweight i686-optimized Linux distribution
Arch Linux is an independently developed, i686/x86-64 general purpose GNU/Linux distribution versatile enough to suit any role. Development focuses on simplicity, minimalism, and code elegance. Arch is installed as a minimal base system, configured by the user upon which their own ideal environment is assembled by installing only what is required or desired for their unique purposes. GUI configuration utilities are not officially provided, and most system configuration is performed from the... -
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ADAM is the Active Defense Algorithm and Model. It is a formally defined process of determining appropriate active response actions in the event of an attack. This implementation shows that active defense can be a legitimate and responsible security tool
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Closed ! Shore help you to create JSP files using MVC (Model-View-Controll) design. Shore is a ant task and generate JSP files from - nearly - simple HTML files. A special Servlet or active server component is not needed, all pathes are relative (no mapp
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Nemotron 3 Super
Open language model developed by NVIDIA as part of Nemotron-3 family
NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is a large-scale open language model developed by NVIDIA as part of the Nemotron-3 family of generative AI systems designed for advanced reasoning, conversational interaction, and agent-based workflows. The model contains approximately 120 billion parameters, but employs a Mixture-of-Experts architecture that activates only a smaller subset of parameters during inference, improving computational efficiency while maintaining high capability. Its... -
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ZAYA1-8B
Efficient MoE reasoning model for coding and math workloads
ZAYA1-8B is a compact Mixture-of-Experts reasoning model developed by Zyphra, designed to deliver unusually high intelligence density with fewer than 1 billion active parameters. The model contains 8.4B total parameters with around 760M active during inference, allowing it to achieve strong reasoning, mathematics, and coding performance while remaining lightweight enough for efficient local or on-device deployment. -
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gpt-oss-120b
OpenAI’s open-weight 120B model optimized for reasoning and tooling
GPT-OSS-120B is a powerful open-weight language model by OpenAI, optimized for high-level reasoning, tool use, and agentic tasks. With 117B total parameters and 5.1B active parameters, it’s designed to fit on a single H100 GPU using native MXFP4 quantization. The model supports fine-tuning, chain-of-thought reasoning, and structured outputs, making it ideal for complex workflows. It operates in OpenAI’s Harmony response format and can be deployed via Transformers, vLLM, Ollama, LM Studio, and PyTorch. ... -
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DiffusionGemma
NVFP4 DiffusionGemma model for fast multimodal text generation
DiffusionGemma 26B A4B IT NVFP4 is NVIDIA’s Model Optimizer quantized release of Google DeepMind’s DiffusionGemma 26B A4B IT model. It is an open-weights multimodal generative model that processes text, images, and video inputs to produce text output through discrete diffusion. Built on the Gemma 4 26B A4B Mixture-of-Experts architecture, it has 25.2B total parameters and 3.8B active parameters, balancing capability with efficient inference. -
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Hunyuan-A13B-Instruct
Efficient 13B MoE language model with long context and reasoning modes
Hunyuan-A13B-Instruct is a powerful instruction-tuned large language model developed by Tencent using a fine-grained Mixture-of-Experts (MoE) architecture. While the total model includes 80 billion parameters, only 13 billion are active per forward pass, making it highly efficient while maintaining strong performance across benchmarks. It supports up to 256K context tokens, advanced reasoning (CoT) abilities, and agent-based workflows with tool parsing. -
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Qwable-v1
Agentic coding model combining Opus reasoning and Fable tools
...The result is a 35B Mixture-of-Experts model with only 3B active parameters that can switch between deep reasoning and agent-style execution depending on the system prompt. In normal conversations, it behaves like a reasoning-focused assistant that generates explicit <think> chains before answering. When configured as an agent, it can emit structured tool-use XML for file editing, shell commands, codebase navigation, and workflow automation. -
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Mistral Large 3 675B Instruct 2512 NVFP4
Quantized 675B multimodal instruct model optimized for NVFP4
Mistral Large 3 675B Instruct 2512 NVFP4 is a frontier-scale multimodal Mixture-of-Experts model featuring 675B total parameters and 41B active parameters, trained from scratch on 3,000 H200 GPUs. This NVFP4 checkpoint is a post-training-activation quantized version of the original instruct model, created through a collaboration between Mistral AI, vLLM, and Red Hat using llm-compressor. It retains the same instruction-tuned behavior as the FP8 model, making it ideal for production assistants, agentic workflows, scientific tasks, and long-context enterprise systems. ... -
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Inkling-Small
Efficient multimodal MoE model for coding, tools, and reasoning
Inkling-Small is an open-weight general-purpose multimodal model from Thinking Machines Lab, designed for agentic systems, coding assistants, chatbots, retrieval workflows, and natural-language applications. It accepts text, images, and audio as input and produces text output, with multilingual and multi-programming-language capabilities. The model uses a sparse Mixture-of-Experts architecture with 276B total parameters and 12B active per token, enabling strong performance with lower inference cost than a fully dense model of similar scale. ... -
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GLM-4.5-Air
Compact hybrid reasoning language model for intelligent responses
GLM-4.5-Air is a multilingual large language model with 106 billion total parameters and 12 billion active parameters, designed for conversational AI and intelligent agents. It is part of the GLM-4.5 family developed by Zhipu AI, offering hybrid reasoning capabilities via two modes: a thinking mode for complex reasoning and tool use, and a non-thinking mode for immediate responses.