Learning Autoencoders with Relational Regularization
☆46Oct 8, 2020Updated 5 years ago
Alternatives and similar repositories for Relational-AutoEncoders
Users that are interested in Relational-AutoEncoders are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Sep 29, 2021Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Mar 3, 2020Updated 6 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆16Jun 13, 2020Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆70Dec 2, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆81Jan 25, 2024Updated 2 years ago
- ☆14Jun 13, 2022Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆47Mar 13, 2023Updated 3 years ago
- Mutual Information Gradient Estimation☆12Sep 8, 2021Updated 4 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆164Jul 24, 2020Updated 5 years ago
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- Code for Optimal Transport for structured data with application on graphs☆107Dec 17, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆15Mar 30, 2020Updated 6 years ago
- Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"☆44May 30, 2024Updated 2 years ago
- Official PyTorch implementation for the paper Generalizable Face Landmarking Guided by Conditional Face Warping (CVPR 2024).☆23Nov 21, 2024Updated last year
- EDM: E(3) Equivariant Diffusion Model for Molecule Generation in 3D☆28Jan 31, 2023Updated 3 years ago
- Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…☆11Mar 11, 2020Updated 6 years ago
- Python implementation of smooth optimal transport.☆60May 5, 2021Updated 5 years ago
- Fork of diux-dev/imagenet18☆16Oct 4, 2018Updated 7 years ago
- Scalable data valuation using optimal transport (ICLR 2025)☆13Jul 15, 2025Updated 10 months ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆30Jan 4, 2018Updated 8 years ago
- 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.
- implements optimal transport algorithms in pytorch☆105May 15, 2022Updated 4 years ago
- Fast Approximate Quadratic Assignment for (Brain) Graph Matching☆16Aug 23, 2016Updated 9 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Jan 31, 2022Updated 4 years ago
- Code for the AAAI 2020 oral paper - Dynamic Embedding on Textual Networks via a Gaussian Process.☆12Mar 26, 2020Updated 6 years ago
- Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.☆54Oct 3, 2023Updated 2 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆142Jun 27, 2023Updated 2 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆23Jun 27, 2020Updated 5 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆15Feb 24, 2026Updated 3 months ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10May 8, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Nov 12, 2022Updated 3 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆246May 9, 2021Updated 5 years ago
- Scalable framework for comparing metric measure spaces with up to 1M points.☆16Apr 6, 2021Updated 5 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- ☆17Sep 18, 2024Updated last year
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆39Mar 8, 2022Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆77Aug 20, 2019Updated 6 years ago