Ali Hassani
Ali Hassani
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CS322: Intro to Soft. Engineering - SSHing into a machine
This video is intended for students enrolled in CS322 in Fall 2023 at University of Oregon.
This video shows you how to use secure shell (SSH) to connect to a remote machine's terminal, and gives you instructions on how to preserve remote sessions, and a bit of intro on using tmux.
Reference:
- GitHub tutorial on SSH: docs.github.com/en/authentication/connecting-to-github-with-ssh/about-ssh
- Tmux wiki: github.com/tmux/tmux/wiki
- My dotfiles (see next video): github.com/alihassanijr/.dotfiles
มุมมอง: 49

วีดีโอ

CS 322 (Extra video): My dotfiles and setup
มุมมอง 44ปีที่แล้ว
This video is intended for students enrolled in CS322 in Fall 2023 at University of Oregon, but is only intended for those interested in learning more about the level of detail in terminal-based applications. In this video, I set up my work environment on a remote server from scratch by cloning my dofiles repository (linked below) and running the build script I've put there in advance. My dotfi...
CS322: Intro to Soft. Engineering - SSH Keys
มุมมอง 208ปีที่แล้ว
This video is intended for students enrolled in CS322 in Fall 2023 at University of Oregon. This video shows you how to set up and use SSH keys in Unix-like operating systems where you would use openssh to both generate keys, and authenticate with a target application. While this example is limited to git as our target application, you can apply the same logic to any other application that allo...
CS322: Intro to Soft. Engineering - Basic Linux Commands
มุมมอง 79ปีที่แล้ว
This video is intended for students enrolled in CS322 in Fall 2023 at University of Oregon. If you are unfamiliar with the Linux shell, this video will introduce a few basic commands and concepts you'll probably need to familiarize yourselves with before starting to work on your projects.
Neighborhood Attention Transformer (CVPR 2023)
มุมมอง 6Kปีที่แล้ว
Neighborhood Attention Transformer - CVPR 2023. By Ali Hassani, Steven Walton, Jiachen Li, Shen Li, and Humphrey Shi. arXiv: arxiv.org/abs/2204.07143 GitHub: github.com/SHI-Labs/Neighborhood-Attention-Transformer NATTEN: shi-labs.com/natten

ความคิดเห็น

  • @fintech1378
    @fintech1378 9 หลายเดือนก่อน

    hi im new to this, how can we see all the papers submitted, both rejected / accepted for cvpr 2024?

  • @auresdz701
    @auresdz701 9 หลายเดือนก่อน

    You are too fast and i understand the reason, would you please do a longer version for non experts, thanks

  • @Danuxsy
    @Danuxsy 10 หลายเดือนก่อน

    not the best presentation but good work either way!

  • @WahranRai
    @WahranRai 10 หลายเดือนก่อน

    Too fast, you are reciting your presentation !!!!!

  • @rakshithsingh3217
    @rakshithsingh3217 11 หลายเดือนก่อน

    Great work! Congratulations. One question - will the NAT backbone be more efficient to train? We're a smaller lab and we're limited to 2x L40 (96GB total VRAM) and we have a ton of memory issues with swim transformer based backbones.

  • @nasifsadiq
    @nasifsadiq ปีที่แล้ว

    I will appreciate if you can provide a sample code for training on images for classification problem using natten(maybe a ipynb file or google colab link template)! TIA

    • @nasifsadiq
      @nasifsadiq ปีที่แล้ว

      I tried to install Natten. The following error occurs: . . . . . . . note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure × Encountered error while trying to install package. ╰─> natten

    • @AliHassaniJr
      @AliHassaniJr ปีที่แล้ว

      @@nasifsadiq We have already released our classification, object detection, and segmentation scripts and code in full under github.com/SHI-Labs/Neighborhood-Attention-Transformer . For NATTEN build issues, kindly raise an issue on the NATTEN repository and provide the full error log (what you shared is just the last few lines of the error, and does not indicate what the issue is.) Also note that unless your GPU architecture is older than Volta, you're probably better off installing NATTEN through pip. Refer to the NATTEN install page for instructions on that: shi-labs.com/natten