ngushchin / EntropicOTBenchmarkLinks
Entropic Optimal Transport Benchmark (NeurIPS 2023).
☆25Updated last year
Alternatives and similar repositories for EntropicOTBenchmark
Users that are interested in EntropicOTBenchmark are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆38Updated last year
- ☆31Updated last year
- ☆34Updated 5 months ago
- Neural Diffusion Processes☆81Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆11Updated 2 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- ☆20Updated 7 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆36Updated 9 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Deep Generative Learning via Schrödinger Bridge☆25Updated 3 years ago
- ☆18Updated last year
- Code release for "Stochastic Optimal Control Matching"☆37Updated last year
- ☆13Updated 2 years ago
- Code repository for Trajectory Flow Matching☆82Updated 10 months ago
- ☆24Updated 3 years ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆33Updated 10 months ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 6 months ago
- ☆13Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆26Updated last year
- ☆27Updated 2 years ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆18Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆66Updated 6 months ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 2 years ago