TGINSIGHT SIMILAR POSTS
Chaîne source @OnePlusGuide · Post #2170 · 26 juin
~ TERMINE DEL PROGRAMMA OPEN BETA PER ONEPLUS 5 E 5T ~ #OP5#OP5T#OOS#BETA Con l'uscita delle Open Beta 35/33, OnePlus ha sancito la fine del programma Open Beta per i top di gamma del 2017, OnePlus 5 e 5T. In questo post farò chiarezza sulla situazione e vi spiegherò come tornare alla stabile Cosa succederà ora Se siete sulla OxygenOS stabile, non cambierà nulla. Continuerete a ricevere gli aggiornamenti ogni 2 mesi normalmente. Se siete sulle Open Beta, non riceverete più NESSUN aggiornamento, nemmeno stabile. Come fare quindi? Semplice. Si può tornare alla OxygenOS stabile installando il pacchetto di rollback che trovate nei bottoni. Lo si installa da Aggiornamento Locale come un normale aggiornamento. Attenzione però, perderete TUTTI i dati. In alternativa, esistono le Custom ROM. Consiglio LineageOS, la migliore nella stabilità. E Android Q? Arriverà, tranquilli. Infine, preciso che ogni domanda a cui ho risposto qui sarà cancellata Pierre
Recherche : #dl
@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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@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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@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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@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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@amneumarkt · Post #681 · 14/06/2025 08:43
#dl So tensorflow and jax are deprecated in the transformers package. https://github.com/huggingface/transformers/pull/38758
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@amneumarkt · Post #662 · 21/02/2025 07:42
#dl Sure, nobody uses it anyways.
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@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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@amneumarkt · Post #624 · 03/10/2024 18:07
#dl https://soumith.ch/blog/2024-10-02-training-10k-scale.md.html
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@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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@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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@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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@amneumarkt · Post #484 · 12/06/2023 06:13
#dl https://twitter.com/armin_kekic/status/1667181047480479751?s=20
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