changwxx / Awesome-Optimal-Transport-in-Deep-LearningLinks
a collection of AWESOME things about Optimal Transport in Deep Learning
☆301Updated last year
Alternatives and similar repositories for Awesome-Optimal-Transport-in-Deep-Learning
Users that are interested in Awesome-Optimal-Transport-in-Deep-Learning are comparing it to the libraries listed below
Sorting:
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆229Updated 4 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆515Updated last month
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆196Updated 8 months ago
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆230Updated 2 years ago
- A curated publication list on evidential deep learning.☆130Updated 5 months ago
- Papers and Codes for the deep learning in hyperbolic space☆181Updated 3 years ago
- Neural Tangent Kernel Papers☆116Updated 8 months ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆342Updated 2 months ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆169Updated 8 months ago
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆121Updated last year
- Collection of awesome test-time (domain/batch/instance) adaptation methods☆1,071Updated last week
- Processed / Cleaned Data for Paper Copilot☆569Updated last week
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆121Updated last year
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆370Updated last year
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆289Updated last year
- Optimal Transport in the Big Data Era☆110Updated 10 months ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆336Updated 11 months ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆208Updated last year
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆362Updated 2 months ago
- PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.☆70Updated 2 years ago
- A pure PyTorch implementation of kmeans and GMM with distributed clustering.☆48Updated 2 years ago
- ☆17Updated 2 years ago
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆156Updated 11 months ago
- Code for coreset selection methods☆242Updated 2 years ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆28Updated 10 months ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆25Updated 2 years ago