PASS
auth-source-pass
| PASS | auth-source-pass | |
|---|---|---|
| 4 | 3 | |
| 257 | 96 | |
| - | - | |
| 0.0 | 3.9 | |
| almost 2 years ago | almost 3 years ago | |
| Python | Emacs Lisp | |
| MIT License | GNU General Public License v3.0 only |
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PASS
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[D] Does anyone know a large varied image dataset that do NOT contain humans?
Here is what you are looking for https://github.com/yukimasano/PASS
- PASS
- Pass: A large-scale image dataset that doesn't include any humans
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University of Oxford Researchers Release ‘PASS’ Dataset With 1.4M+ Images (Free From Humans) For Self-Supervised Machine Learning
3 Min Read | Paper | Project | Code
auth-source-pass
- auth-source-pass: Integrate Emacs' auth-source with password-store
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Auth sources pass authentication against GMail in Gnus
I try to migrate my ~/.authinfo file into pass manager and I know that auth-source-pass is now part of Emacs but I cannot successfully connect to my gmail (or any other mail) account in Gnus. I tried various syntax of my pass entries in my manager but during starting Gnus I still receive warning about failed connection.
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Can I integrate pass, the password manager, into gnus so I don't have to hardcode passwords in ~/.authinfo?
First, configure auth-source-pass, which adds the password-store backend to the auth-sources variable. It was included in emacs 26, so an easy way to configure it is through use-package:
What are some alternatives?
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
pass-import - A pass extension for importing data from most existing password managers
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
pass - A major mode for password-store
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
centaur-tabs - Emacs plugin aiming to become an aesthetic, modern looking tabs plugin
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
emacs-dashboard - An extensible emacs dashboard
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
doom-modeline - A fancy and fast mode-line inspired by minimalism design.
lightly - A python library for self-supervised learning on images.
.emacs.d - Centaur Emacs - A Fancy and Fast Emacs Configuration