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Multitask Learning Python Packages

Python packages with the GitHub topic multitask-learning. Sorted by relevance, with stars and monthly downloads.
abess-team
abess

Fast Best-Subset Selection Library

18K 477 43
JayYip
bert-multitask-learning

BERT for Multitask Learning

9K 544 123
SimplexLab
torchjd

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

5K 337 21
nadeemlab
deepliif

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

1K 254 91
hristo-vrigazov
dnn-cool

DNN.Cool: Multi-task learning for Deep Neural Networks (DNN).

1K 49 2
bm2-lab
scmdml

A multitask deep metric learning-based framework for single cell assignment based on multiple references

347 4 4
nyu-mll
jiant

jiant is an nlp toolkit

281 2K 296
median-research-group
libmtl

A PyTorch Library for Multi-Task Learning

228 3K 232
Interactive-Media-Lab-Data-Science-Team
md-mtl

An Ensemble Med-Multi-Task Learning Package

205 2 2
SML-CompBio
oncomark

A deep learning tool designed to predict Cancer Hallmark activities from tumor biopsy samples.

152 3 0
bm2-lab
mtsc

A multitask deep metric learning-based framework for single cell assignment based on multiple references

137 4 4
JayYip
m3tl

BERT for Multitask Learning

68 544 123
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