Search Results for "active shape model" - Page 6
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Showing 219 open source projects for "active shape model"
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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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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
tf2_course provides the notebooks for the “Deep Learning with TensorFlow 2 and Keras” course authored by the same author, Aurélien Géron. It is structured as a teaching toolkit: you’ll find notebooks covering neural networks with Keras, lower-level TensorFlow APIs, data loading & preprocessing, convolutional and recurrent networks, and deployment/distribution of models. The material is intended for learners who already have foundational knowledge of ML and wish to deepen their understanding... -
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MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning
Apache MXNet is a scalable, efficient open-source deep learning framework—offering a flexible hybrid programming model (symbolic + imperative) and supporting a wide array of languages—designed for training and deploying neural networks across heterogeneous systems. Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic... -
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DFE-alpha
inference of the distribution of fitness effects of new mutations and
...The DFE is estimated by maximum likelihood (ML) based on site frequency spectra (SFSs) for two sets of nucleotide sites, one set assumed to be subject to mutation, selection and genetic drift and the other set of sites assumed to be evolving neutrally. The DFE is assumed to be a gamma distribution with shape parameter beta (β), or a model in which all mutations have equal effects can be run. The mean mutational effect is estimated on a scale Nes, where Ne is a measure of the recent effective population size and s is the selection strength acting on a new mutation. -
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Lineage_19.0
Lets Go !!!!!!!! Lineage_OS for r5x
...Lineage-OS was officially launched on 24 December 2016, with the source code available on both GitHub and Git-Lab. As with all versions of Android, operating system releases are specific to a single device model. Since its launch, Lineage-OS development builds are available for 109 phone models with over 2.8 million active installs, having doubled its user base in the months February–March 2017. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Svgbob
Convert your ascii diagram scribbles into happy little SVG
Svgbob can create a nice graphical representation of your text diagrams. Svgbob provides a cli that takes text as input and creates an svg image as an output. Svgbob is a diagramming model which uses a set of typing characters to approximate the intended shape. -
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opencpnplugins
Plugins for OpenCPN
This project hosts various plugins for the OpenCPN chart plotter, which are not bundled with the core package. OpenCPN is a free software (GPLv2) project to create a concise chart plotter and navigation software, for use underway or as a planning tool. OpenCPN is developed by a team of active sailors using real world conditions for program testing and refinement. -
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Cloudprober
Active monitoring software to detect failures
Cloudprober is a monitoring software that makes it super-easy to monitor availability and performance of various components of your system. Cloudprober employs the “active” monitoring model. It runs probes against (or on) your components to verify that they are working as expected. For example, it can run a probe to verify that your frontends can reach your backends. Similarly it can run a probe to verify that your in-Cloud VMs can actually reach your on-premise systems. This kind of monitoring makes it possible to monitor your systems’ interfaces regardless of the implementation and helps you quickly pin down what's broken in your system. ... -
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jiant
jiant is an nlp toolkit
Jiant is a multitask NLP framework for fine-tuning transformer-based models on multiple natural language understanding (NLU) tasks. -
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DensePose
A real-time approach for mapping all human pixels of 2D RGB images
DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the... -
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Paper.js
The swiss army knife of vector graphics scripting
Paper.js is an open source vector graphics scripting framework that runs on top of the HTML5 Canvas. It offers a clean Scene Graph / Document Object Model and a lot of powerful functionality to create and work with vector graphics and bezier curves, all neatly wrapped up in a well designed, consistent and clean programming interface. Paper.js is based on and largely compatible with Scriptographer, a scripting environment for Adobe Illustrator with an active community of scripters and more than 10 years of development. ... -
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Adianti
Adianti Framework provides a complete architecture for developing PHP.
Adianti Framework provides a complete architecture for developing PHP applications, reducing development costs and helping developers to write less code. Adianti Framework is a component-based and event-driven framework that uses commonly known enterprise design patterns like MVC (Model View Controller), Front Controller and ORM (Object-Relational Mapping) design patterns like Active Record and Repository. Adianti Framework is also the first framework in the world that provides two different widget toolkits, one for Web applications (HTML/CSS) and another for graphical applications (with Graphical User Interface) that uses Gtk internally. ... -
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Baselines
High-quality implementations of reinforcement learning algorithms
...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. If you meant a different “baselines” (e.g. OpenAI Baselines for reinforcement learning), I can look up that specific one. -
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Active Learning
Framework and examples for active learning with machine learning model
...The main experiment runner (run_experiment.py) supports a wide range of configurations, including batch sizes, dataset subsets, model selection, and data preprocessing options. It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. The framework integrates with both classical machine learning models (SVM, logistic regression) and neural networks. -
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fft
A fast distributed file transfer
fft is a distributed file transfer tool designed to accelerate large file movement by coordinating multiple relay nodes in parallel rather than depending on a single server’s bandwidth ceiling. Its architecture splits a transfer into concurrent “workers” that fetch or push chunks across multiple paths, improving throughput on high-latency or bandwidth-constrained links. The project is implemented in Go and exposes a straightforward command-line interface so operators can stand up senders,... -
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DeepMask
Torch implementation of DeepMask and SharpMask
...Instead of first generating boxes and then refining them, the network predicts a foreground mask and an “objectness” score for a given image patch, yielding high-quality segment proposals suitable for downstream detection or instance segmentation. The model is trained end-to-end to align mask shape with object extent, which markedly improves recall at a manageable number of proposals. In practice, DeepMask is run on an image pyramid with a sliding window, followed by non-maximum suppression to produce a compact set of candidates. A companion refinement model (SharpMask) sharpens the coarse predictions, recovering fine boundaries like thin limbs or object edges. ... -
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Source code for the article: 'The Influence of Object Shape on the Convergence of Active Contour Models for Image Segmentation'. Images and .mat files are included to both run active contour models and create phase diagrams showing how object shape and choice of parameters affect the convergence of the models.
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REX-Ray
REX-Ray is a container storage orchestration engine
REX-Ray is a container storage orchestration engine enabling persistence for cloud-native workloads. The long-term goal of the REX-Ray project is to enable collaboration between organizations focused on creating enterprise-grade storage plugins for the Container Storage Interface (CSI). As a rapidly changing specification, CSI support within REX-Ray will be planned when CSI reaches version 1.0, currently projected for a late 2018 release. In the interim, there remains active engagement with... -
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REST Layer
REST Layer, Go (golang) REST API framework
...Although it is not as active as newer Go API frameworks, it remains a notable example of a resource-oriented REST framework in Go. -
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X10
Performance and Productivity at Scale
X10 is a class-based, strongly-typed, garbage-collected, object-oriented language. To support concurrency and distribution, X10 uses the Asynchronous Partitioned Global Address Space programming model (APGAS). This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous parallelism. Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. ... -
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tcomb-form
Forms library for react
...Although it belongs to an older React ecosystem, it remains a clear example of model-driven form generation for web applications. -
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2D Statistical Models. Building: shape model, texture model and concatenated appearance model; Fitting: 1D profile ASM, 2D profile ASM, direct local texture constrained(LTC) ASM, basic AAM, ICIA AAM, IAIA AAM, etc.
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse... -
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QASreport
QASreport - is a multi-platform C ++ Qt library for building reports
QASreport - is a multi-platform C ++ Qt library that contains a set of classes for building reports. It is a mix of designer and report generator output means. It is intended to add to the application of automation to create, save, report output. Reports templates are stored in XML format. And can be stored and loaded from a file on disk, memory, or table blob fields. The library contains built-in designer, available in run-time, with the ability to work like a normal graphic editor.... -
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You can make a simple MSN control (which users can login), web authentication gateway (Horatio based), load balance (iproute2), traffic shape (QoS), simple packet filter and NAT redirects (DNAT), loadbalance and VPN gateway or roadwarrior and ...