The University of Texas Data Science and Machine Learning Lab
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- United States of America
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Mini-batch-OT
Mini-batch-OT PublicA new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
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AmortizedSW
AmortizedSW PublicA framework using amortized optimization for seeking informative directions for sliced Wasserstein generative models.
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transformer-mgk
transformer-mgk PublicForked from minhtannguyen/transformer-mgk
This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
Repositories
- Mini-batch-OT Public
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
UT-Austin-Data-Science-Group/Mini-batch-OT’s past year of commit activity - AmortizedSW Public
A framework using amortized optimization for seeking informative directions for sliced Wasserstein generative models.
UT-Austin-Data-Science-Group/AmortizedSW’s past year of commit activity - transformer-mgk Public Forked from minhtannguyen/transformer-mgk
This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
UT-Austin-Data-Science-Group/transformer-mgk’s past year of commit activity
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