https://github.com/ServiceNow/TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.
https://github.com/ServiceNow/TADAM

Last synced: 13 days ago
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The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

• Host: GitHub
• URL: https://github.com/ServiceNow/TADAM
• Owner: ServiceNow
• License: apache-2.0
• Created: 2019-01-17T14:35:25.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-20T14:51:53.000Z (over 2 years ago)
• Last Synced: 2024-04-10T06:06:59.984Z (7 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 1.03 MB
• Stars: 104
• Watchers: 27
• Forks: 24
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-few-shot-meta-learning - code - official (TF)

README

        
*ServiceNow completed its acquisition of Element AI on January 8, 2021. All references to Element AI in the materials that are part of this project should refer to ServiceNow.*

# TADAM

## Set up docker

go to folder docker in this project, execute

docker build -f Dockerfile -t boris_tadam .

launch docker

NV_GPU=0 nvidia-docker run -p 1250:8888 -p 1251:6006 -p 1252:6007 -p 1253:6008 -v /mnt/datasets/public/:/mnt/datasets/public/ -v /mnt/home/boris:/mnt/home/boris -t -d --name boris_tadam_explore boris_tadam

iPython session should be available at http://machine_ip:1250/, password is "default". Datasets are mapped inside docker in /mnt/datasets/public/ folder.