arxiv.org/abs/1702.08074v2
We consider the task of learning control policies for a robotic mechanism striking a puck in an air hockey game. The control signal is a direct command to the robot's motors. We employ a model free deep reinforcement learning framework to learn the m...
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我们一般说的 .net是指 .net framework,它的1.0是在2000年出的,到现在17年了。 这是一个运行时环境,有了这个环境,C#(.net框架下最常用的语言)写的软件就能运行。 在现在windows上,本身就 …
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.NET程序执行图 .NET的安全性 基于角色的安全性 代码访问安全性 什么是.NET 什么是.NET Framework 如何在VS中调试.NET Framework源代码 什么是.NET Core 什么是.NET Standard .NET官方开源项 …
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移动 Web 面临着更大的碎片化和兼容性问题,jQuery Mobile、Sencha Touch、Framework7、Ionic 等移动 Web 框架也随之出现。 相比于 Native App,移动 Web 开发成本低、跨平台、发布周期短的优势 …
github.com/ash-project/ash_json_api
The JSON:API extension for the Ash Framework (⭐ 89)
github.com/sevenseacat/tunez
The starter application for the Ash Framework book (⭐ 112)
github.com/ash-project/ash_postgres
The PostgreSQL data layer for Ash Framework (⭐ 177)
github.com/team-alembic/ash_authentication
The Ash Authentication framework (⭐ 151)
arxiv.org/abs/2603.03446v1
The precision era of multi-messenger astronomy, together with modern astrophysical, cosmological, and gravitational wave observations, increasingly points toward the existence of a ``dark" sector that cannot be explained within the framework of the S...
github.com/oinone/oinone-kunlun
Oinone is an AI-powered enterprise-grade productization engine, serving as an integrated R&D framework for developing standard products and enabling agile delivery, with low-code and no-code technologies as its core enablers. Drawing on the engineering philoso…
github.com/oinone/oinone-pamirs
Oinone is an AI-powered enterprise-grade productization engine, serving as an integrated R&D framework for developing standard products and enabling agile delivery, with low-code and no-code technologies as its core enablers. Drawing on the engineering philoso…
www.bing.com/ck/a?!&&p=9070c5a63d4fa3dc18fa7051f1ad328a45507240ac99524f102857075bad4e16JmltdHM9MTc3Mjc1NTIwMA&ptn=3&ver=2&hsh=4&fclid=10c74264-6582-6c10-1a0a-557064c06d36&u=a1aHR0cHM6Ly93d3cuemhpaHUuY29tL3F1ZXN0aW9uLzU4MDg3MzU0Mw&ntb=1
移动 Web 面临着更大的碎片化和兼容性问题,jQuery Mobile、Sencha Touch、Framework7、Ionic 等移动 Web 框架也随之出现。 相比于 Native App,移动 Web 开发成本低、跨平台、发布周期短的优势 …
arxiv.org/abs/1305.2758v1
Semantic web is a web of future. The Resource Description Framework (RDF) is a language to represent resources in the World Wide Web. When these resources are queried the problem of duplicate query results occurs. The present techniques used hash ind...
arxiv.org/abs/2511.07495v1
We construct a unified analytic framework connecting Bernoulli numbers, zeta-regularization, and Fredholm determinants associated with trigonometric selector kernels. Starting from the Bernoulli-Stirling algebra, Euler-Maclaurin corrections are reint...
arxiv.org/abs/2402.13572v2
Besides natural language processing, transformers exhibit extraordinary performance in solving broader applications, including scientific computing and computer vision. Previous works try to explain this from the expressive power and capability persp...
arxiv.org/abs/2505.07534v1
Visual Analytics (VA) integrates humans, data, and models as key actors in insight generation and data-driven decision-making. This position paper values and reflects on 16 VA process models and frameworks and makes nine high-level observations that...
arxiv.org/abs/2601.01839v1
Despite the growing popularity of AI coding assistants, over 80% of machine learning (ML) projects fail to deliver real business value. This study creates and tests a Machine Learning Canvas, a practical framework that combines business strategy, sof...
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A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/2406.05288v1
We introduce Optimal Eye Surgeon (OES), a framework for pruning and training deep image generator networks. Typically, untrained deep convolutional networks, which include image sampling operations, serve as effective image priors (Ulyanov et al., 20...
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5 days ago · The Benner Scale, named after the internationally renowned Dr. Patricia Benner, is widely accepted and arguably the most useful framework for assessing clinical competency at different …