Search Results for "scale image" - Page 2
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Showing 36 open source projects for "scale image"
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Opyrator
Turns your machine learning code into microservices with web API
Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python... -
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MaLiang
iOS painting and drawing library based on Metal
MaLiang is a painting framework based on Metal. It supports drawing and handwriting with customized textures. The name of "MaLiang" comes from a boy who had a magical brush in a Chinese ancient fairy story. A Canvas is the basic component of MaLiang. You will paint all things on it. Canvas extends from MetalView, which extends from MTKView. MetalView handles all the logic with MetalKit and hides them from you. MaLiang supports the automatic adjustment of stroke size with painting force. 3D... -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
...It highlights both fixed and learnable sparsity patterns that trade off computational cost and model expressiveness. By enabling tractable training on longer contexts, the project opened the door to applications in large-scale text and image generation. Though archived, it remains a key reference for efficient transformer research, influencing many later architectures that aim to extend sequence length while reducing compute. -
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ResNeXt
Implementation of a classification framework
...The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity. -
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Iconic
Auto-generated icon font library for iOS, watchOS and tvOS
Iconic helps make icon fonts integration effortless on iOS, tvOS and watchOS. Its main component is in charge of auto-generating strongly typed Swift code with SwiftGen, compatible with Objective-C. You will interact with an auto-generated class under the name of {FontName}Icon.swift, which is a light abstraction of the IconDrawable.swift protocol. Some open-sourced icon fonts don't include the names of each of their glyphs. This could result in a non-descriptive enum, which can make things... -
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academic Jekyll
Jekyll theme with a focus on simplicity, typography and flexibility
Academic is a Jekyll theme with a focus on simplicity, typography and flexibility. I originally designed it for my personal blog during my PhD thesis. Both in design and configuration, Academic aims to let the writer and its readers focus on the content. Almost all of the theme configuration happens in the _config.yml file. The goal of Academic is to let the author write very long and detailed posts while being kind to its readers' eyes. Academic can be used to generate different layouts... -
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Cocos2D-ObjC
Cocos2d for iOS and OS X, built using Objective-C
Cocos2D-ObjC is a framework for building 2D games, demos, and other graphical/interactive applications for iOS, Mac and tvOS. It is based on the Cocos2D design, but instead of using Python it uses Swift and / or Objective-C. Integrated with Chipmunk physics engine (Served as an extension). Tile Map support. Orthogonal, Isometric and Hexagonal. Parallax scrolling (Served as an extension). Motion Streak (Served as an extension). Render To Texture (Served as an extension). Touch/Accelerometer... -
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DeepDream
This repository contains IPython Notebook with sample code
...The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing gradients with respect to the input image, and applying multi-scale “octave” processing to reveal fine and coarse patterns. The code is intentionally compact and exploratory, encouraging users to tweak layers, step sizes, and scales to influence the aesthetic. Although minimal, it illustrates important concepts like feature visualization, activation maximization, and the effect of different receptive fields on the final image. -
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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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Guardian Frontend
The Guardian DotCom
This repository hosts a major part of The Guardian’s web application stack, historically the Play Framework–based code that serves the newspaper’s content at scale. It orchestrates rendering of articles, live blogs, and interactive pieces while integrating advertising, analytics, identity, and paywall-adjacent features. The codebase coordinates with upstream content APIs, image services, and media platforms to compose pages dynamically with caching and edge-friendly layouts. Operationally, it’s engineered for high traffic spikes—breaking news or live sports—through aggressive caching strategies, feature switches, and robust fault isolation between services. ... -
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A framework for developing multi device and technology capable mobile sites with the Coldfusion language. Initially developed for OpenBD v1.4 (also on v1.5) and tested in Jetty server on a Windows computer. Bundles tested to work in MacOSX and Win.
