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timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/
Apache License 2.0
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allow month start frequency (MS)
#27
sarthak405
closed
1 month ago
1
Update README.md
#26
eltociear
opened
1 month ago
0
Memory guidance
#25
microprediction
opened
1 month ago
1
Installation Failed: conda env create --file=environment.yml
#24
forhonourlx
opened
1 month ago
11
So many errors I'm unsure where to begin
#23
sdmorrey
closed
1 month ago
1
Making the backend attribute case-insensitive
#22
blefo
opened
1 month ago
3
There was a problem installing paxml
#21
suorui7
closed
1 month ago
0
Pretraining Datasets
#20
wxie9
opened
1 month ago
0
Unable to run timesfm due to dependency issue
#19
Satyajit-Chaudhuri
opened
1 month ago
4
how to use it on mac m1
#18
zhousheng89
opened
1 month ago
3
nit: format code block
#16
alanwu4321
opened
1 month ago
1
Documents?
#15
BankNatchapol
opened
1 month ago
1
Finetuning
#14
MichaelisTrofficus
opened
1 month ago
6
ImportError: cannot import name 'patched_decoder' from 'src'
#13
fahdmirza
closed
1 month ago
17
feat: allow None freq in forecast_on_df
#12
AzulGarza
closed
1 month ago
0
Fix package structure
#11
abdulfatir
closed
1 month ago
1
Great
#10
liu499169
opened
1 month ago
0
Fix minor typos in timesfm.py - TimesFm class
#9
cloudripper
opened
1 month ago
0
[Hub] Download weights automatically from hub
#8
kashif
closed
1 month ago
0
checkpoint loading issue
#7
ylq1996
opened
1 month ago
3
[Docs] fixed typos
#6
kashif
closed
1 month ago
0
fix: add einshape as dep
#5
AzulGarza
closed
1 month ago
2
Fix package structure
#4
abdulfatir
closed
1 month ago
1
Improve dependencies specification
#3
sarusso
closed
1 month ago
0
Fix example code syntax error
#2
sitic
closed
1 month ago
1
Installation conflict (praxis / lingvo)
#1
x775
opened
1 month ago
35
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