☆19Jun 26, 2023Updated 3 years ago
Alternatives and similar repositories for riemannian-metric-learning-ot
Users that are interested in riemannian-metric-learning-ot are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆32May 30, 2024Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- ☆14Jun 3, 2024Updated 2 years ago
- ☆23Feb 4, 2025Updated last year
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Graph Learning with JAX☆14Jul 11, 2022Updated 4 years ago
- ☆17Sep 24, 2018Updated 7 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- Persistence differentiation with Gudhi and Tensorflow☆20Sep 28, 2023Updated 2 years ago
- Cross-Domain Imitation Learning via Optimal Transport☆27Jun 24, 2022Updated 4 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆46Jun 17, 2022Updated 4 years ago
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆16May 31, 2023Updated 3 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆63Aug 14, 2025Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆34Oct 3, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆53Feb 27, 2023Updated 3 years ago
- ESICCC: A systematic computational framework for evaluation, selection and integration of cell-cell communication inference methods☆13Jan 10, 2024Updated 2 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆15Feb 24, 2026Updated 5 months ago
- ☆17Mar 4, 2021Updated 5 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆23Aug 19, 2024Updated 2 years ago
- Conditional Monge Gap (2026; Nature Machine Intelligence)☆21Aug 10, 2026Updated last week
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆29Jul 11, 2024Updated 2 years ago
- The Ecoacoustic Dataset from Arctic North Slope Alaska☆12Jul 22, 2026Updated 3 weeks ago
- Spatiotemporal single-cell RNA sequencing of developing hearts reveals interplay between cellular differentiation and morphogenesis☆13Oct 31, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆62May 3, 2022Updated 4 years ago
- ☆35Sep 12, 2022Updated 3 years ago
- LibMVC is a collection of fast iterative minimum vertex cover solvers. Currently NuMVC and FastVC are implemented.☆12Jun 14, 2022Updated 4 years ago
- Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).☆20Nov 20, 2024Updated last year
- A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.☆27Jul 4, 2025Updated last year
- This project contains code for the paper titled "SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentia…☆29Feb 21, 2024Updated 2 years ago
- Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).☆25Aug 19, 2025Updated 11 months ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 3 years ago
- A Nextflow pipeline that creates reliable, structure-informed MSAs of thousands of protein sequences which can supplement structural info…☆11Jul 14, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Jan 20, 2017Updated 9 years ago
- ☆12Jun 14, 2025Updated last year
- ☆34Aug 30, 2022Updated 3 years ago
- ☆17Jun 6, 2022Updated 4 years ago
- ☆24Feb 15, 2025Updated last year
- PyTorch implementation of the original evidental-deep-learning@https://github.com/aamini/evidential-deep-learning/☆13Sep 20, 2021Updated 4 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago