Search Results for "deep" - Page 4
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105 projects for "deep" with 2 filters applied:
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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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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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understand-plugin-framework
Demos to help understand plugin framwork
...The project is particularly useful for those interested in modular application design and dynamic feature loading. It highlights both the capabilities and challenges of plugin frameworks. Overall, it serves as a deep dive into Android extensibility mechanisms. -
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
...The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. By breaking down the model into understandable components, it serves as a practical reference for students and practitioners learning how deep learning models handle text beyond traditional bag-of-words approaches. -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
...It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. Currently, it targets (1) multicore X86 CPUs, (2) Nvidia GPUs, (3) Xilinx FPGAs (Vivado HLS) and (4) distributed machines (using MPI). ... -
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Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates content associated with Zhao, the repository functions as a personal or shared knowledge base for readers who want insight into a body of research rather than a traditional software library. ... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Mocha.jl
Deep Learning framework for Julia
Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. -
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Keras resources
Directory of tutorials and open-source code repositories
...It also includes links to external projects built with Keras, demonstrating real-world applications of deep learning techniques. The structure is designed for easy navigation, allowing users to quickly find relevant materials based on their skill level or area of interest. It serves as both a learning pathway and a reference library for ongoing development. -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract... -
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iRate
Library to promote iPhone and Mac App Store apps
iRate is a small utility for iOS/macOS apps that encourages users to rate your app after they’ve had enough exposure to form an opinion. Instead of nagging on first launch, it tracks usage metrics like number of launches or days since install and only prompts when thresholds are met. The goal is to increase high-quality, voluntary ratings while avoiding the fatigue that comes from aggressive dialogs. You configure the behavior through a handful of properties, and the library handles the... -
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cnn-benchmarks
Benchmarks for popular CNN models
...Overall, cnn-benchmarks is a practical tool for performance analysis in deep learning workflows. -
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fast-neural-style
Feedforward style transfer
...It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations. -
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React Fiber Architecture
A description of React's new core algorithm, React Fiber
The React Fiber Architecture project is a detailed technical document that explains the internal design and behavior of React Fiber, the core algorithm that powers modern React rendering. Rather than being a traditional code library, it serves as an educational deep dive into how React manages updates, scheduling, and reconciliation under the hood. The document explores how Fiber replaces the older stack-based reconciliation algorithm with a more flexible system that breaks rendering work into incremental units. This enables advanced features such as interruptible rendering, prioritization of updates, and smoother user interfaces during complex operations. ... -
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deemon
Deemon Scripting Language
...With a fully packed standard library including support for file-io, threads, atomics, pipes, math, file-system, sockets, randomization, hashing, serialization, a wide selection of emulated c/c++ headers and more, deemon provides a suitable environment for any application. Syntax is easy to read and understand and is mostly based on the common languages such as c/c++, java and python, though for those fascinated by it, reaches very deep and allows for pleasingly beautiful code to be written. If you wish to learn deemon, download any package and take a look at 'lib/tut' Note: If you've already used v100, you'll be happy to see how much deemon has grown in the five months that have passed. Keep up to date with deemon at: https://github.com/GrieferAtWork/deemon -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. -
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iOS Tech Frontier
Tanslates high-quality iOS technology, open source libraries
iOS Tech Frontier is a curated, deep-dive repository of advanced technical knowledge around the iOS operating system and ecosystem, designed primarily for intermediate to advanced developers who want to understand beyond SDK basics and build highly performant, robust applications. Instead of simple how-to recipes, the project collects detailed explanations, system internals analyses, and real-world insights into core subsystems like memory management (ARC), threading and Grand Central Dispatch, Objective-C/Swift runtime behavior, UIKit rendering pipelines, and effective use of concurrency. ... -
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Human AI Net
a Human and Artificial Intelligence Network
...The main data format is, from xorlisp which is also in progress, immutable binary forest nodes, so if millions of people build that together nobody can damage or change anyone else's data since its all constant. You dont change variables. You create new data that points at existing constant data, as deep as you need it. I have mindmap lists, definitions, and 2 editable properties working that way with 2 kinds of event listeners that work locally. Its not a networked system yet, but the datastructs are ready to scale with it. -
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Mori
ClojureScript's persistent data structures and supporting API
Mori brings ClojureScript's efficient persistent data structures and functional APIs into vanilla JavaScript, enabling immutability and functional programming patterns with performant collections in JS. The installed package contains a single optimized JavaScript file mori.js. Load mori in your Node.js programs as you would any other module. For vectors and maps we provide efficient thaw and freeze operations. All Mori maps and sets support all the non-mutating methods of the proposed ES6... -
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Super CSV
A fast, programmer-friendly, free CSV library for Java
...This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. ... -
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Immutable Sparse Wave Trees (WaveTree)
Realtime bigdata tool for bit strings up to 2^63 based on AVL forest
Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of... -
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Broadleaf Commerce
Broadleaf Commerce is an open source Java eCommerce platform.
Broadleaf Commerce (www.broadleafcommerce.com) is an open source Java eCommerce platform based on the Spring Framework. Broadleaf Commerce uses a robust, extensible architecture that enables deep customization and rapid development. The core framework is licensed under the Apache 2 license with additional community and commercial modules. Find out more here (www.broadleafcommerce.com). To get started using the project, we recommend our Getting Started guide (http://docs.broadleafcommerce.org/core/current). The most current Broadleaf Commerce (www.broadleafcommerce.com) source code is now maintained on GitHub (https://github.com/BroadleafCommerce). ... -
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Web AND Mobile (Apple iPhone) based, multi user, java port of the KeePass project. A free, easy to use password manager which helps you to manage your passwords in a secure way. Focused on deep encryption and ease of use.
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A simple library for cloning java objects. And it can do it in three ways. The shallow copy, the serialized copy and the deep clone. It is useful if you need to detach an entity from an EntityManager.
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svn-deepcopy
Creates a deep copy of a subversion repository item.
The subversion copy command "svn cp" does not include svn:externals into the copy. This behaviour leads sometimes to mistakes during creation of branches or tags. The svn-deepcopy tool overcomes this problem by including external references into the branch or tag. In contrast to other tools, svn-deepcopy preserves the revision history. -
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This simple project provides a way to efficiently calculate the actual memory use of any Java object. The class makes use of the JVMs own instrumentation support to calculate the object memory use in a portable way.
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Java objects that share parts of immutable graphs. Reused subgraphs have directly or indirectly recursive Elements. Selected components get replaced by new counterparts in Context of Mirrors - translation tables. Deep copies are not involved.
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DNA is an open, flexible and extensible deep network analyzer software server and software architecture for gathering and analyzing network packets, network sessions and applications protocols, passively off enterprise class networks.
