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PaperGen is an advanced AI paper writing assistant that empowers you to create structured, well-cited content using research and paraphrasing tools. Improve clarity, coherence, and …
PaperGen - AI Paper Research & Writing Assistant Tool| Free Paper …
Discover PaperGen - the AI writing assistant that creates high-quality, plagiarism-free papers and essays with automated citations. Try it for free!
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careywyr/paper-agent: 论文辅助工具 - GitHub
一款可以帮助经常阅读论文的同学提升效率的小工具，有两个部分： 翻译基于 deepseek 的服务， 论文十问依赖于 kimi， 因此需要这两个的 api key。 可以配置到环境变量中，代码中使用的环 …
GEGAN: Generative Adversarial Networks Training Based on …
In this paper, we introduce an optimization algorithm for GAN training, GEGAN, which leverages a gradient-directed evolutionary strategy. GEGAN integrates gradient and evolutionary …
lucidrains/gigagan-pytorch - GitHub
get a code review for the multi-scale inputs and outputs, as the paper was a bit vague. add upsampling network architecture. make unconditional work for both base generator and …
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GitHub - wcc961129/GE-GAN: GE-GAN: A novel deep learning framework for ...
GE-GAN: A novel deep learning framework for road traffic state estimation Paper All data can download in keys:c6zy. The CSDN blog
GE-GAN: A novel deep learning framework for road traffic …
2020年8月1日 · In this paper, a novel deep learning framework for road traffic state estimation was proposed. We constructed the road network and chose the most relevant represented …
- 某些结果已被删除