Tokenmw

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Time-Series-Library

A Library for Advanced Deep Time Series Models.

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Awesome-Mamba-Papers

Awesome Papers related to Mamba.

tsfel

An intuitive library to extract features from time series.

Awesome-TimeSeries-SpatioTemporal-LM-LLM

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

uni2ts

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

Awesome-Foundation-Models

A curated list of foundation models for vision and language tasks

pytorch-multi-gpu-training

整理 pytorch 单机多 GPU 训练方法与原理

Convolutional-KANs

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 learnable non linear activations in each pixel.

BasicTS

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

moment

MOMENT: A Family of Open Time-series Foundation Models

timmdocs

Documentation for Ross Wightman's timm image model library

awesome-llm-time-series

tracking papers, datasets, and models of "large language model (LLM) for time series"

Pytorch-Lightning-Learning

Pytorch Lightning入门中文教程，转载请注明来源。（当初是写着玩的，建议看完MNIST这个例子再上手）

OpenGSL

pytorch-DANN

PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)

source-free-domain-adaptation

TSLANet

[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks

GSLB

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

Awesome-TimeSeries-LLM-FM

The collection of resources about LLM for Time series tasks

Awesome-Graph-Structure-Learning

A curated list of papers on graph structure learning (GSL).

MFA-LR

This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has been published in the paper "Learning a Robust Unified Domain Adaptation Framework for Cross-subject EEG-based Emotion Recognition."

EvidentialADA

Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]

TTAC2

[TPAMI 2024] The official implementation of "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training"

ProductGraphSleepNet

SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

Practical-Time-Series-In-Python

Practical guidance for time series analysis in Python

Node-and-Edge-Dual-Mask