ngushchin / EntropicOTBenchmark
Entropic Optimal Transport Benchmark (NeurIPS 2023).
☆23Updated 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).☆37Updated last year
- Code release for "Stochastic Optimal Control Matching"☆35Updated 9 months ago
- ☆32Updated 11 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆25Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- ☆13Updated last year
- Deep Generative Learning via Schrödinger Bridge☆23Updated 3 years ago
- Neural Diffusion Processes☆77Updated 9 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 8 months ago
- ☆33Updated last month
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆39Updated 9 months ago
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆26Updated 6 months ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆17Updated 8 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated 2 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆54Updated 9 months ago
- ☆12Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆32Updated 5 months ago
- ☆19Updated 3 months ago
- ☆16Updated last year
- Code for the paper https://arxiv.org/abs/2205.14987v2☆49Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 2 months ago
- Code for the paper https://arxiv.org/abs/2402.04997☆77Updated last year
- Implementation of Action Matching☆41Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆21Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago