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awesome-llama: https://github.com/time-series-foundation-models/lag-llama

forecasting foundation-models lag-llama llama time-series time-series-forecasting time-series-prediction time-series-transformer timeseries timeseries-forecasting transformers

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Last synced: about 4 hours ago
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Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting


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Last synced: 3 months ago

Total Commits: 73
Total Committers: 6
Avg Commits per committer: 12.167
Development Distribution Score (DDS): 0.274

Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Arjun Ashok a****k@g****m 53
Kashif Rasul k****l@g****m 10
Kelian Massa k****n@i****a 6
Ara Ghukasyan a****a@a****i 2
İlbey GÜLMEZ 1****3 1
Kelian Massa 5****M 1

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Last synced: about 1 month ago

Total issues: 113
Total pull requests: 19
Average time to close issues: 27 days
Average time to close pull requests: 11 days
Total issue authors: 88
Total pull request authors: 8
Average comments per issue: 2.04
Average comments per pull request: 1.74
Merged pull request: 8
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
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Dependencies

requirements.txt pypi
  • gluonts ==0.13.3
  • numpy ==1.23.5
  • pytorch_lightning ==2.0.4
  • scipy *
  • torch >=2.0.0
  • wandb *