iamalexkorotin

Pinned Repositories

GNOT
Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
Language:Jupyter Notebook40
KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
Language:Jupyter Notebook22 1 02
NeuralOptimalTransport
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
Language:Jupyter Notebook173 4 619
Wasserstein2Barycenters
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
Language:Jupyter Notebook23 1 02
Wasserstein2Benchmark
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
Language:Jupyter Notebook35 3 16
Wasserstein2GenerativeNetworks
PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Language:Jupyter Notebook49 5 14
WassersteinIterativeNetworks
PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)
Language:Jupyter Notebook9 3 20
Wasserstein1Benchmark
A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
Language:Jupyter Notebook18 2 01
EntropicOTBenchmark
Entropic Optimal Transport Benchmark (NeurIPS 2023).
Language:Jupyter Notebook18 3 42
LightSB
Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
Language:Python38 2 02

iamalexkorotin's Repositories

iamalexkorotin/NeuralOptimalTransport
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
Language:Jupyter Notebook173 4 619
iamalexkorotin/Wasserstein2GenerativeNetworks
PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Language:Jupyter Notebook49 5 14
iamalexkorotin/Wasserstein2Benchmark
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
Language:Jupyter Notebook35 3 16
iamalexkorotin/Wasserstein2Barycenters
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
Language:Jupyter Notebook23 1 02
iamalexkorotin/KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
Language:Jupyter Notebook22 1 02
iamalexkorotin/WassersteinIterativeNetworks
PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)
Language:Jupyter Notebook9 3 20
iamalexkorotin/GNOT
Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
Language:Jupyter Notebook40
iamalexkorotin/EntropicOTBenchmark
Entropic Optimal Transport Benchmark (NeurIPS 2023)
Language:Jupyter Notebook2 0 00
iamalexkorotin/LightSB
Pytorch implementation of "Light Schrödinger Bridge".
Language:Python2 0 0
iamalexkorotin/NOTBarycenters
Estimating barycenters of distributions by Neural Optimal Transport
Language:Python2
iamalexkorotin/Energy-guided-Entropic-OT
Energy-guided Entropic Optimal Transport (ICLR'2024)
Language:Jupyter Notebook1
iamalexkorotin/EntropicNeuralOptimalTransport
Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
Language:Jupyter Notebook1 0 0
iamalexkorotin/ExtremalNeuralOptimalTransport
PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
Language:Jupyter Notebook1 0 0
iamalexkorotin/LightSB-Matching
Light and Optimal Schrödinger Bridge Matching official PyTorch implementation
Language:Python1
iamalexkorotin/GenerativeModelingWithOptimalTransportMaps
PyTorch source code of Generative Modeling with Optimal Transport Maps (ICLR 2022).
Language:Jupyter Notebook0 0 00
iamalexkorotin/LargeScaleWassersteinGradientFlows
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
Language:Jupyter Notebook0 0 00
iamalexkorotin/Wasserstein1Benchmark
A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation.
Language:Jupyter Notebook0 0 00