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Chaîne source @OnePlusGuide · Post #2839 · 8 oct.

🔻LEAKS DI ONEPLUS 8T!🔻 #OP8T#LEAKS Come ogni annuncio di un nuovo device che si rispetti, a ridosso della data di uscita iniziano a circolare i primi leaks. A questo giro tocca all'ormai annunciatissimo OnePlus 8T, nuovissimo device della casa cinese. Questa serie di render sembra essere la più gettonata, che vede il device esposto in varie angolazioni. Che ve ne pare? Se questo fosse il design finale, ci fareste un pensierino? Fatecelo sapere nei nostri gruppi! Pit — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

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Repositorio data science

@repo_science · Post #4131 · 18/05/2024 21:06

​​#DL 📱 Zeus New Pytorch Ecosystem Tool Zeus is an open source toolkit for measuring and optimizing power consumption of deep learning workloads. 🖥Github ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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Am Neumarkt 😱

@amneumarkt · Post #706 · 21/11/2025 07:53

#dl Introducing more symmetries in attention https://github.com/NVIDIA/torch-harmonics https://neurips.cc/virtual/2025/loc/san-diego/poster/117783

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Am Neumarkt 😱

@amneumarkt · Post #691 · 05/10/2025 07:41

#dl Park, Chanwook, Sourav Saha, Jiachen Guo, Hantao Zhang, Xiaoyu Xie, Miguel A. Bessa, Dong Qian, et al. 2025. “Unifying Machine Learning and Interpolation Theory via Interpolating Neural Networks.” Nature Communications 16 (1): 1–12. https://www.nature.com/articles/s41467-025-63790-8

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Am Neumarkt 😱

@amneumarkt · Post #683 · 28/06/2025 07:04

#dl A few cool ideas in this model. Introducing Gemma 3n: The developer guide - Google Developers Blog https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/

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Am Neumarkt 😱

@amneumarkt · Post #625 · 03/10/2024 21:31

#dl PyTorch Native Architecture Optimization: torchao | PyTorch https://pytorch.org/blog/pytorch-native-architecture-optimization/

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Am Neumarkt 😱

@amneumarkt · Post #602 · 20/07/2024 05:48

#dl There is this new lib called scale. One could compile CUDA code to use it on AMD GPU. https://docs.scale-lang.com/manual/how-to-use/ I don't know who is more pissed off, NVidia or AMD.

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Am Neumarkt 😱

@amneumarkt · Post #556 · 16/03/2024 09:09

#dl This repo is really nice. yuanchenyang/smalldiffusion: Simple and readable code for training and sampling from diffusion models https://github.com/yuanchenyang/smalldiffusion

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Am Neumarkt 😱

@amneumarkt · Post #506 · 13/11/2023 08:30

#dl Google & USC benchmarked a prompt based forecasting method, and the results are amazing. Cao D, Jia F, Arik SO, Pfister T, Zheng Y, Ye W, et al. TEMPO: Prompt-based Generative Pre-trained Transformer for time series forecasting. arXiv [cs.LG]. 2023. Available: http://arxiv.org/abs/2310.04948

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