PyTorch Implementation of Diffusion Schrodinger Bridge Matching

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.

Assignments from 16-825 Learning for 3D Vision at Carnegie Mellon University

Transformer Based Embeddings of Wasserstein Distance

Papers of Neural Topic Models (NTMs)

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

Optimal Transport Dataset Distance

C++ Implementation of PyTorch Tutorials for Everyone

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Papers on fairness in NLP

A curated list of awesome Fairness in AI resources

Public repository of minSW implementation

A unified framework for 3D content generation.

Official Implementation for Fast Point Cloud Generation with Straight Flows

3D Gaussian Splatting extension of threestudio.

Additional exercises and data for EE364a. No solutions; for public consumption.

Pioneering in Vietnamese Multimodal Large Language Model

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning

1D interpolation for pytorch

Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)