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View All on GitHub Aggregator tracker 14 days ago
cc: feat package: aggregation good first issue
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Python
#deep-learning#jacobian-descent#multi-objective-optimization#multi-task-learning#multiobjective-optimization#multitask-learning#optimization#python#pytorch#torch
Make the interactive plotter available from the docs about 2 months ago
cc: docs package: aggregation good first issue
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Python
#deep-learning#jacobian-descent#multi-objective-optimization#multi-task-learning#multiobjective-optimization#multitask-learning#optimization#python#pytorch#torch
Scalarizer Tracker 3 months ago
cc: feat good first issue package: scalarization
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Python
#deep-learning#jacobian-descent#multi-objective-optimization#multi-task-learning#multiobjective-optimization#multitask-learning#optimization#python#pytorch#torch
Add scalarization package 4 months ago
good first issue package: scalarization
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
Python
#deep-learning#jacobian-descent#multi-objective-optimization#multi-task-learning#multiobjective-optimization#multitask-learning#optimization#python#pytorch#torch