Optimal Transport in the Big Data Era

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Official implementation of Diffusion Time Estimation

Domain Adaptation benchmark

Optimal Transport Dataset Distance

Code release for ICLR 2021 paper "Generalised Multimodal ELBO"

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

Templates and tools for creating interactive figures and interactive text for publishing in EPUB3/HTML5.

Open-source framework for science presentations and talks, generating interactive HTML from simple Python based interface.

[NeurIPS 2022 Spotlight] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

LLM101n: Let's build a Storyteller

《迁移学习简明手册》LaTex源码

Python implementation of simple GMM and HMM models for isolated digit recognition.

PyCIL: A Python Toolbox for Class-Incremental Learning

Routines for exploratory data analysis.

Python Library for Signal/Image Data Analysis with Transport Methods

Python of "Entropic Wasserstein Component Analysis" paper

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal proce…

TorchDR - PyTorch Dimensionality Reduction

Incremental Learning of Gaussian Mixture Models (IGMM)

modular domain generalization: https://pypi.org/project/domainlab/

PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)

Bearing fault diagnosis model based on MCNN-LSTM

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

This repository is for the transfer learning or domain adaptive with fault diagnosis.