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OHDSI
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DeepPatientLevelPrediction
An R package for performing patient level prediction using deep learning in an observational database in the OMOP Common Data Model.
https://ohdsi.github.io/DeepPatientLevelPrediction
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Pass graph embedding as input to transformer
#77
lhjohn
opened
1 year ago
0
During hyperaparameter search, print out best value found so far
#76
egillax
opened
1 year ago
1
Training cache breaks if previous attempt only managed one iteration
#75
egillax
closed
1 year ago
0
Resolve an issue with hidden dimension ratio
#74
lhjohn
closed
1 year ago
1
Parameter grid with dimHiddenRatio not working
#73
lhjohn
closed
1 year ago
1
Release 1.1.6
#72
egillax
closed
1 year ago
1
incs in fitEstimator is empty
#71
egillax
closed
1 year ago
0
totalList in dataset.R needs to be a list of tensor
#70
egillax
closed
11 months ago
0
Version 1.1.5
#69
egillax
closed
1 year ago
1
LRFinder works with device fun
#68
egillax
closed
1 year ago
0
version 1.1.4
#67
egillax
closed
1 year ago
1
Device expression
#66
egillax
closed
1 year ago
1
Fix actions so torch installs correctly
#65
egillax
closed
1 year ago
1
Weekly Hades check failing
#64
egillax
closed
1 year ago
2
Add parameter caching for training persistence and continuity
#63
lhjohn
closed
1 year ago
2
Add automatic mixed precision support
#62
egillax
opened
1 year ago
2
Develop
#61
egillax
closed
1 year ago
0
modelType as attribute and tests to cover database upload
#60
egillax
closed
1 year ago
1
Need to att modelType as an attribute
#59
egillax
closed
1 year ago
1
Link to installation guide in readme is broken
#58
egillax
closed
1 year ago
1
Release version 1.1
#57
egillax
closed
1 year ago
1
Parallel and Distributed Training
#56
lhjohn
closed
1 year ago
1
Divisible check for Transformer not comprehensive
#55
lhjohn
closed
1 year ago
1
Divisible check for Transformer dimensions not comprehensive
#54
lhjohn
closed
1 year ago
1
Derive dimension of feedforward block from embedding dimension
#53
lhjohn
closed
1 year ago
1
Derive dimension of feedforward block from embedding dimension
#52
lhjohn
closed
1 year ago
1
Lr find
#51
egillax
closed
1 year ago
1
Add seed for sampling hyperparameter combinations
#50
lhjohn
closed
1 year ago
1
Add seed for sampling hyperparameter combinations
#49
lhjohn
closed
1 year ago
1
Modeltype fix
#48
egillax
closed
1 year ago
1
Allow dimToken and numHeads to take the form of vectors
#47
lhjohn
closed
1 year ago
0
Transformer on develop branch not working as intended
#46
lhjohn
closed
1 year ago
3
Set global seed for reproducibility
#45
lhjohn
closed
1 year ago
1
43 hotfix lantern binaries
#44
egillax
closed
1 year ago
1
Released version now failing unit tests
#43
schuemie
closed
1 year ago
2
Deep PLP
#42
ChungsooKim
closed
1 year ago
1
Add multi-gpu support
#41
egillax
opened
1 year ago
1
Version 1.0.1
#40
egillax
closed
1 year ago
1
Add ‘compare_versions’ ‘deploy.sh’ ‘extras’ to .Rbuildignore
#39
schuemie
closed
1 year ago
0
Add changelog to package website
#38
schuemie
closed
1 year ago
0
Release v1.0.0
#37
egillax
closed
1 year ago
1
Add minimum number of epochs to EarlyStopper
#36
egillax
opened
1 year ago
0
setTransformer() doesn't work now
#35
ChungsooKim
closed
1 year ago
2
First release
#34
egillax
closed
2 years ago
1
add defaultSettings functions for models
#33
egillax
opened
2 years ago
3
Add a LR rate finder
#32
egillax
closed
1 year ago
1
Enable some sort of caching - improve hyperparameter tuning
#31
egillax
closed
1 month ago
1
Add temporal architectures
#30
egillax
opened
2 years ago
0
Add MLP model using the estimator
#29
egillax
closed
1 year ago
3
Update pkgdown.yaml
#28
egillax
closed
2 years ago
0
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