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Source channel @githubtrending · Post #14901 · Jul 2

#javascript#nginx#nginx_proxy Nginx Proxy Manager is a simple tool that helps you easily manage and secure your websites at home or elsewhere by forwarding internet traffic to them. It uses Docker for easy installation and offers a user-friendly admin interface, so you don’t need to know much about Nginx or SSL certificates. It provides free SSL certificates through Let’s Encrypt, supports user management, and allows you to set up domain forwarding and security features like access lists. This makes hosting your own web services safer and easier, especially if you want to expose them to the internet without complex setup[1][3]. https://github.com/NginxProxyManager/nginx-proxy-manager

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Repositorio data science

@repo_science · Post #4131 · 05/18/2024, 09:06 PM

​​#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 · 11/21/2025, 07:53 AM

#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 · 10/05/2025, 07:41 AM

#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 · 06/28/2025, 07:04 AM

#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 · 06/14/2025, 08:43 AM

#dl So tensorflow and jax are deprecated in the transformers package. https://github.com/huggingface/transformers/pull/38758

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@amneumarkt · Post #625 · 10/03/2024, 09:31 PM

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

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

#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 · 03/16/2024, 09:09 AM

#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 · 11/13/2023, 08:30 AM

#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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