Search Results for "deep"
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Showing 11 open source projects for "deep"
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1
DeepLinkDispatch
Annotation-based library for making deep link handling better
...Android supports deep links through declaration in the Manifest. You can add an intent filters which define a mapping between deep link schemas and Activities. Subsequently, any URI with the registered scheme, host, and path will open up that Activity in the app. You can’t easily indicate the parameters that you would expect in the URI that you are filtering for. -
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ncnn
High-performance neural network inference framework for mobile
...It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu. -
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Lets-Plot
Multiplatform plotting library based on Grammar of Graphics
Lets-Plot is a multiplatform plotting library based on the Grammar of Graphics. The library' design is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics. -
4
Glide
Android image loading & caching library focused on smooth scrolling
...It is primarily focused on making any type of a list of images as smooth and fast as possible, and is able to achieve this through smart and automatic downsampling and caching, aggressive re-use of resources and deep lifecycle integration. Apart from smooth and speedy scrolling, it’s also good for any case where fetching, resizing, and displaying of a remote image is needed. -
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5
XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. ... -
6
Arrow
Functional companion to Kotlin's Standard Library
Arrow Core includes types such as Either, Validated and many extensions to Iterable that can be used when implementing error handling patterns. Core also includes the base continuation effects system, which includes patterns to remove callbacks and enables controlled effects in direct syntax. Some applications of the effect system reduce boilerplate and enable direct syntax including monad comprehensions and computation expressions. Arrow Fx is a next-generation Typed FP Effects Library that... -
7
paraffin
Iterative and recursive parallelism generics for Ada 2005 and Ada 2012
A suite of Ada 2012 generics to facilitate iterative and recursive parallelism for multicore systems and provide safer recursion for single and multicore systems. Generics include Ravenscar compatible versions for real-time systems. Also Includes paraffinalia, which is a set of useful generics for parallel quicksort, fast fourier transform, function integration, prefix sum, and Red-Black trees -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
9
AndroidOfferKiller
Help you get a better offer
...It brings together notes and materials across topics such as Java and JVM basics, Android fundamentals, design patterns, data structures and algorithms, and LeetCode-style problem solutions. The repository also links to deep-dive articles on performance and common pitfalls, for example RecyclerView stutter and optimization strategies, making it a practical study companion rather than just a list of questions. It includes sections about referral channels and hiring information for certain companies, highlighting real-world hiring context in addition to theory. ... -
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10
MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. -
11
Subsampling Scale Image View
Deep zoom view for displaying huge images without loss of detail
Android library (AAR). Highly configurable, easily extendable deep zoom view for displaying huge images without loss of detail. Perfect for photo galleries, maps, building plans etc. A custom image view for Android, designed for photo galleries and displaying huge images (e.g. maps and building plans) without OutOfMemoryErrors. Includes pinch to zoom, panning, rotation and animation support, and allows easy extension so you can add your own overlays and touch event detection.
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