sayumi0713

帅气的我简直无法用语言描述!
Awesome Prompts

Awesome Prompts

精选提示词库 - Awesome Prompts
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Public Prompts

Public Prompts

Discover and share AI prompts and models. A community-driven platform for AI resources including ChatGPT, Claude, Stable Diffusion prompts and more.
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PromptFolder

PromptFolder

The ultimate AI prompt manager. Build, save, and discover innovative prompts for use in ChatGPT, Midjourney, and other artificial intelligence powered tools.
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DeepLearning.AI

DeepLearning.AI

DeepLearning.AI | Andrew Ng | Join over 7 million people learning how to use and build AI through our online courses. Earn certifications, level up your skills, and stay ahead of the industry.
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Elements of AI

Elements of AI

Learn more about MinnaLearn's and the University of Helsinki's AI course - no programming or complicated math required.
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Machine

Machine

Your guide to getting started and getting good at applied machine learning with Machine Learning Mastery.
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Brilliant

Brilliant

Guided interactive problem solving that’s effective and fun. Try thousands of interactive lessons in math, programming, data analysis, AI, science, and more.
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Kaggle

Kaggle

Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
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飞桨AI

飞桨AI

飞桨星河社区是面向AI学习者的人工智能学习与实训社区。飞桨星河社区集成了丰富的免费AI课程,大模型社区及模型应用,深度学习样例项目,各领域经典数据集,云端超强GPU算力及存储资源,更有新手练习赛、精英算法大赛等你参与。
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飞桨

飞桨

飞桨致力于让深度学习技术的创新与应用更简单。具有以下特点:同时支持动态图和静态图,兼顾灵活性和效率;精选应用效果最佳算法模型并提供官方支持;真正源于产业实践,提供业界最强的超大规模并行深度学习能力;推理引擎一体化设计,提供训练到多端推理的无缝对接;唯一提供系统化技术服务与支持的深度学习平台
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Apache MXNet

Apache MXNet

A flexible and efficient library for deep learning.
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NumPy

NumPy

Powerful N-dimensional arrays Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. Numerical computing tools NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. Open source Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Interoperable NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. Performant The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. Easy to use NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level.
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