几篇论文实现代码:
《NeMF: Neural Motion Fields for Kinematic Animation》(NeurIPS 2022) GitHub: github.com/c-he/NeMF [fig1]
《Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme》(ICLR 2022) GitHub: github.com/PlayVoice/Diff-SVC [fig4]
《Exploring Target Representations for Masked Autoencoders》(2022) GitHub: github.com/liuxingbin/dbot [fig2]
《These Maps are Made for Walking: Real-Time Terrain Property Estimation for Mobile Robots》(2022) GitHub: github.com/roahmlab/sel_map [fig3]
《Mass Editing Memory in a Transformer》(2022) GitHub: github.com/kmeng01/memit
《NeMF: Neural Motion Fields for Kinematic Animation》(NeurIPS 2022) GitHub: github.com/c-he/NeMF [fig1]
《Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme》(ICLR 2022) GitHub: github.com/PlayVoice/Diff-SVC [fig4]
《Exploring Target Representations for Masked Autoencoders》(2022) GitHub: github.com/liuxingbin/dbot [fig2]
《These Maps are Made for Walking: Real-Time Terrain Property Estimation for Mobile Robots》(2022) GitHub: github.com/roahmlab/sel_map [fig3]
《Mass Editing Memory in a Transformer》(2022) GitHub: github.com/kmeng01/memit
#考研[超话]# Shares of Facebook owner Meta rose Monday following a Wall Street Journal report over the weekend saying the company could start mass layoffs as soon as Wednesday. The job cuts are expected to impact thousands of employees. Meta joins Twitter, Lyft, Amazon and other tech companies that are adjusting their workforce size amid macroeconomic headwinds.
重点词汇:layoff; impact; adjust; macroeconomic.
重点词汇:layoff; impact; adjust; macroeconomic.
周四考完orgo之后似乎是真的筋疲力尽了 即使一堆due但是还是把社交放在了前面 现在这周真的可以说是很死亡 但是面对完全没写的essay和完全没写的coding 还有周三的presentation我是异常地冷静 虽然现在还债写物理作业到凌晨一点半…除了第一张照片其他都是在orgo考完之后拍的 可以说考完试才有时间去发现生活中的秋色 去逛galleries 而且还第一次逃离城乡结合部 去mass乡下摘苹果 真的超级甜!!这周TGF就结局了 第九集看得我难受的要命 希望结局轻点虐
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