zhang1hongliang

CV-SW

Official PyTorch implementation for paper: Sliced Wasserstein Estimation with Control Variates

FFF

Free-form flows are a generative model training a pair of neural networks via maximum likelihood

SHCV

Contains the code associated to the ICML2024 article "Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates", R.Leluc, A.Dieuleveut, F.Portier, J.Segers, A.Zhuman.

SGW

Code for Sliced Gromov-Wasserstein

RPSW

Official PyTorch implementation for paper: Sliced Wasserstein with Random-Path Projecting Directions

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

cellot

Learning Single-Cell Perturbation Responses using Neural Optimal Transport

LightSB-Matching

Light and Optimal Schrödinger Bridge Matching official PyTorch implementation

EntropicOTBenchmark

Entropic Optimal Transport Benchmark (NeurIPS 2023).

dsbm-pytorch

PyTorch Implementation of Diffusion Schrodinger Bridge Matching

tree-diffusion-schrodinger-bridge

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

LightSB

Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs

HiT-ADV

The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024

GNOT

Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)

nubot

Neural Unbalanced Optimal Transport

NOTBarycenters

Estimating barycenters of distributions by Neural Optimal Transport

psc4MetaBBO

s3wd

Source code for the ICML 2024 paper "Stereographic Spherical Sliced Wasserstein Distances"

Sliced-Wasserstein_Distances_and_Flows_on_Cartan-Hadamard_Manifolds

Source code for the paper "Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds"

wasserstein-barycenters

Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu

LION

Latent Point Diffusion Models for 3D Shape Generation

NESOTS

Source code of the article "Non Euclidean Sliced Optimal Transort Sampling" published at Eurographics 2024, authors : Baptiste GENEST, Nicolas COURTY, David COEURJOLLY

glad

COSeg

[CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation

RDED

[CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

MinimaxDiffusion

[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion

point-cloud-continual-learning

Training-Data-Synthesis

[ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching