sherlockLitao / HCP
☆17Updated 8 months ago
Alternatives and similar repositories for HCP
Users that are interested in HCP are comparing it to the libraries listed below
Sorting:
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Score-based generative models for compact manifolds☆110Updated last year
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- A list of papers for group meeting☆16Updated 4 months ago
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆43Updated 2 years ago
- ☆70Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆22Updated 4 years ago
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆28Updated 2 months ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆113Updated last year
- ☆35Updated last year
- Lifelong Graph Learning (CVPR 2022 Oral)☆78Updated 3 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆24Updated last year
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- ☆10Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆80Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…☆14Updated 3 years ago
- ☆14Updated 4 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆271Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆23Updated last year
- Some toy examples of score matching algorithms written in PyTorch☆48Updated 3 years ago
- ☆11Updated 2 years ago