TGINSIGHT SIMILAR POSTS
Chaîne source @OnePlusGuide · Post #2575 · 11 juin
~ Google rilascia la Beta 1 di Android 11 ~ #R Dopo aver posticipato a data da destinarsi l'evento per il lancio della Beta 1 di Android 11, Google decide di rilasciarla così, un po' in segreto. La prima cosa che salta all'occhio è che a differenza della prima beta di Android 10, rilasciata in contemporanea a dispositivi sia di Google che di grossi altri marchi, questa, fino ad ora è stata rilasciata solo per la gamma Pixel. Detto questo andiamo a vedere il changelog: -Privacy: sarà possibile concedere alle app l'autorizzazione una volta sola, inoltre tutte le autorizzazioni concesse verranno revocate dopo un certo periodo. -Controlli: aggiunto un nuovo menù che garantisce una gestione più rapida dei dispostivi smart home di Google. -Notifiche: sono ufficialmente introdotte le notifiche a bolla (quelle stile Massenger, per capirci😂). Fr3uds
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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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