MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries

This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction.

A hackable implementation of GraphNets.

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

Graph Auto-Encoder in PyTorch

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture

Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PRONOSTIA-FEMTO dataset: Preparation & application examples

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A PyTorch implementation of the MB-TCN model as outlined in the paper "Multi-Branching Temporal Convolutional Network for Sepsis Prediction".

A project implementing Load prediction based on TCN-STGCN

用TCN 进行股票预测

The pytorch implementation of Cross-domain Recommendation via Dual Adversarial Adaptation (ACM TOIS'23)

Mindspore migration code for Noise-Robust Continual Test-Time Domain Adaptation, published in the 31st ACM International Conference on Multimedia (ACM MM)

Pytorch implementation of Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation (CVPR'24)

this is the pytorch version of Conditional Generative Adversarial Nets

Unofficial pytorch implementation of algorithms for domain adaptation

A collection of AWESOME things about domian adaptation

pytorch implementation for Contrastive Adaptation Network

Locality Preserving Joint Transfer for Domain Adaptation, TIP 2019

Code for "Transfer Independently Together: A Generalized Framework for Domain Adaptation" published on IEEE TCYB

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation