Search Results for "segmentation"
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Showing 9 open source projects for "segmentation"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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Flash Linux 0.11 Talk
Annotated Unix system source code
...The materials break down historically compact and dense code into digestible segments, with diagrams and call flows that trace execution from bootloader to user space. By focusing on a small, early kernel, the series reveals core OS concepts without the complexity of modern subsystems. It highlights how segmentation and paging cooperate, how system calls are dispatched, and how context switches and signals work in practice. The commentary ties C and assembly listings back to architecture specifics, making the hardware–software interface concrete. For learners, it serves as a guided tour that builds intuition for operating system design and prepares them to tackle contemporary kernels with better mental models. -
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Deep Learning course
Slides and Jupyter notebooks for the Deep Learning lectures
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion. -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. -
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NiftyNet
An open-source convolutional neural networks platform for research
...Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging data. Quickly build new solutions to your own image analysis problems. NiftyNet currently supports medical image segmentation and generative adversarial networks. NiftyNet is not intended for clinical use. -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
...The repository may also contain domain-specific modules: loss functions like Dice, focal loss, metrics such as sensitivity/recall/IoU, and visualization utilities for overlaying segmentation masks. -
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mbFXWords
Analyze text. Diagonal read subject, predicate, obj. Search other pdf.
...For English, French and German files. JavaFX Application, runs with Oracle Java Runtime Environment version 8 that is including JavaFX. NLP extensions: - Divide sentences in subclauses: segmentation. - Divide plain text: subject, predicate, object. - Count words: stemming. - Search for similar content: pdf's. Gives out subject, predicate and object of sentences of pdf and plain text files. Provides comfortable GUI. Automatic language detection. -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
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MatrixUser
A Multi-functional GUI-based Program for Image Processing and Analysis
The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or... -
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