probabilisticai / probai-2025Links
☆41Updated 7 months ago
Alternatives and similar repositories for probai-2025
Users that are interested in probai-2025 are comparing it to the libraries listed below
Sorting:
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆41Updated 3 years ago
- Implementation of Action Matching☆50Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 5 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆41Updated last year
- ☆21Updated 11 months ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆36Updated 10 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated 2 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆59Updated 6 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- ☆18Updated 2 years ago
- PhD Thesis☆39Updated 2 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆224Updated 2 years ago
- A Python package to learn the Koopman operator.☆65Updated 2 weeks ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- ☆31Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- ☆36Updated 9 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- ☆37Updated 5 years ago