(ICLR24) A Lie Group Approach to Riemannian Batch Normalization.

Curated list of Brain-Computer Interface peer-reviewd reviews and surveys

EEG to Language through LLMs

[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

NLP新手入门教程

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / LLaMA Factory / Swift / Ultralytics…

The collection of resources about LLM for Time series tasks

TorchEEG is a library built on PyTorch for EEG signal analysis.

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测)

[NeurIPS2024 Oral] PyTorch implementation of DenoiseRep

Diffusion model papers, survey, and taxonomy

ikan: 给中文KAN学习者和开发者准备的各种KAN的详细的中文注释+使用例子

Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;

Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Taming Stable Diffusion for Lip Sync!

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

[TIP'24] Official PyTorch implementation of Concept Activation-Guided Contrast Learning.

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Probabilistic Contrastive Learning for Domain Adaptation

Awesome things about domain generalization, including papers, code, etc.

Official Implementation of SWAD (NeurIPS 2021)

🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton

The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization

KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs

The implementation of "Mixup Induced Domain Extrapolation for Domain Generalization"

A python library for self-supervised learning on images.

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)