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Alexander Korotin

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NeuralOptimalTransport. PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

233

Wasserstein2GenerativeNetworks. PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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Wasserstein2Benchmark. A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

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Wasserstein2Barycenters. PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

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KernelNeuralOptimalTransport. PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)

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GenerativeAICourse. The materials of the Deep Generative AI Course (2022-until now).

23

WassersteinIterativeNetworks. PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)

20

GNOT. Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)

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