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Diffusion model papers, survey, and taxonomy
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).
[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.
🚀 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)
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
A Lightweight and High Performance Neural network for MI-EEG decoding
[Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification
A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series
Writing AI Conference Papers: A Handbook for Beginners
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark