xian-sh

xian-sh's Stars

• thuml/TimeXer

  Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)

  Language:Python17922

• mims-harvard/UniTS

  A unified multi-task time series model.

  Language:Python50771

• cfeng783/GTT

  Codebase for CIKM '24 paper -- General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

  Language:Python428

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python51573

• torcheeg/torcheeg

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

  Language:Python42957

• Navidfoumani/EEG2Rep

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

  Language:Python535

• Tengfei000/MPED

  MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion

  367

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python4.4k401

• thuml/Large-Time-Series-Model

  Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

  Language:Python51953

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python1.8k302

• Today0219/Emotion-recognition

  Emotion recognition using DEAP dataset，GSR。

  Language:Jupyter Notebook376

• Mozartuss/DEAP-Emotion-Recognition

  Emotion Recogniton LSTM RNN Arousal Valence

  Language:Python469

• Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

  This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

  Language:Python16352

• paulmorio/deap_analysis

  DEAP Dataset Analysis Code

  Language:Jupyter Notebook5011

• weilheim/EEG

  PyTorch EEG emotion analysis using DEAP dataset

  Language:Python7933

• tuengominh/deap-eeg-classification

  EEG-based emotion classification using DEAP dataset

  Language:Jupyter Notebook12828

• tongdaxu/EEG_Emotion_Classifier_DEAP

  EEG Emotion classification using the DEAP pre-processed data

  Language:Jupyter Notebook14041

• YuchengLiu-Alex/EmotionKD

  Language:Python184

• blazerye/DrugAssist

  DrugAssist: A Large Language Model for Molecule Optimization

  Language:Python12411

• alxndrTL/mamba.py

  A simple and efficient Mamba implementation in pure PyTorch and MLX.

  Language:Python1.1k100

• microsoft/EfficientLongSequenceModeling

  Language:Python516

• chao1224/GraphMVP

  Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

  Language:Python18122

• xian-sh/UniSDNet

  Language:Python81

• LincanLi98/STG-Mamba

  Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

  Language:Python17927

• null-xyj/CoBFormer

  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"

  Language:Python393

• tencent-ailab/MDM

  MDM

  Language:Python4710

• Layne-Huang/PMDM

  Language:Python11924

• conghaowang/GLDM

  Language:Python152

• ShenAoAO/MoleSG

  Language:Python101

• OFA-Sys/ONE-PEACE

  A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

  Language:Python1k68