xian-sh

xian-sh's Stars

• laekov/fastmoe

  A fast MoE impl for PyTorch

  Language:Python1.6k189

• ycq091044/BIOT

  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.

  Language:Python9018

• hjm9702/reaction_yield_pretrained_gnn

  Source code for "Improving Chemical Reaction Yield Prediction Using Pre-Trained Graph Neural Networks"

  Language:Python126

• pbashivan/EEGLearn

  A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

  Language:Python717221

• microsoft/PhysioPro

  A deep learning framework for physiological data processing and understanding.

  Language:Python7312

• 935963004/LaBraM

  ICLR 2024 spotlight

  Language:Python25439

• wpf535236337/LLMs4TS

  10615

• yuzhezhangEEG/LM-KD

  Language:Python21

• ChenxiLiu-HNU/ST-LLM

  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"

  Language:Python498

• thuml/AutoTimes

  Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

  Language:Python1118

• thuml/TimeSiam

  Language:Python303

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook917103

• thuml/TimeXer

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

  Language:Python838

• mims-harvard/UniTS

  A unified multi-task time series model.

  Language:Python45663

• cfeng783/GTT

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

  Language:Python397

• 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:Python48070

• torcheeg/torcheeg

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

  Language:Python39555

• Navidfoumani/EEG2Rep

  Language:Python444

• Tengfei000/MPED

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

  347

• google-research/timesfm

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

  Language:Python3.8k328

• thuml/Large-Time-Series-Model

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

  Language:Python38336

• KimMeen/Time-LLM

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

  Language:Python1.5k261

• Today0219/Emotion-recognition

  Emotion recognition using DEAP dataset，GSR。

  Language:Jupyter Notebook366

• Mozartuss/DEAP-Emotion-Recognition

  Emotion Recogniton LSTM RNN Arousal Valence

  Language:Python428

• 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:Python15851

• paulmorio/deap_analysis

  DEAP Dataset Analysis Code

  Language:Jupyter Notebook4911

• weilheim/EEG

  PyTorch EEG emotion analysis using DEAP dataset

  Language:Python7632

• tuengominh/deap-eeg-classification

  EEG-based emotion classification using DEAP dataset

  Language:Jupyter Notebook12428

• tongdaxu/EEG_Emotion_Classifier_DEAP

  EEG Emotion classification using the DEAP pre-processed data

  Language:Jupyter Notebook13540

• YuchengLiu-Alex/EmotionKD

  Language:Python154