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theislab
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multimil
Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
https://multimil.rtfd.io/
BSD 3-Clause "New" or "Revised" License
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Add more loss functions & ability to change the decoder output
#24
alitinet
closed
3 years ago
0
Train method
#23
awakeenderman
closed
4 years ago
1
query to reference mapping feature
#22
M0hammadL
closed
3 years ago
0
Add new small params to the model constructor
#21
M0hammadL
closed
4 years ago
0
Fix bug in zero training history
#20
M0hammadL
closed
4 years ago
0
Add Kl annealing to the model
#19
M0hammadL
closed
4 years ago
0
Leukemia dataset
#18
alitinet
closed
3 years ago
1
Gayoso CITE-seq dataset
#17
alitinet
closed
3 years ago
2
Kotliarov CITE-seq dataset
#16
alitinet
closed
3 years ago
2
Test robustness
#15
alitinet
closed
3 years ago
1
Seurat v4 PBMC CITE-seq dataset
#14
alitinet
closed
3 years ago
2
Added train method to model MultiVAE
#13
awakeenderman
closed
4 years ago
1
scvi-tools spleen/lymph nodes CITE-seq dataset
#12
alitinet
closed
3 years ago
1
add history plos logging
#11
M0hammadL
closed
4 years ago
0
add a metric.py
#10
M0hammadL
closed
3 years ago
5
Add setup.py
#9
M0hammadL
closed
3 years ago
6
Create a README file for each dataset
#8
awakeenderman
closed
4 years ago
0
Download and preprocess 10x PBMC dataset
#7
awakeenderman
closed
4 years ago
1
Test the model on MorphoMNIST dataset
#6
awakeenderman
closed
4 years ago
1
Add cycle consistency loss
#5
awakeenderman
closed
4 years ago
1
Revise scATAC-seq preprocessing workflows
#4
awakeenderman
closed
4 years ago
1
Preprocess and run our method on scNMT-seq dataset
#3
awakeenderman
closed
3 years ago
1
Add adversarial loss with a classifier of modalities in the latent space
#2
awakeenderman
closed
3 years ago
1
Pytorch refactor
#1
awakeenderman
closed
4 years ago
0
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