xiatian815

3DSleepNet

Abstract_Neural_Metamers

Code and Data for paper "Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning" (under review)

ailabx

AI量化实验室，专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

AirFormer

PyTorch implementation of AirFormer, AAAI-23

Annotation-free-Medical-Image-Enhancement

ARNN

Banknote-Authentication-UCI-Dataset

Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

xiatian815/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

xiatian815/Annotation-free-Medical-Image-Enhancement

xiatian815/Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

xiatian815/BasicTS

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

xiatian815/Basisformer

This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

xiatian815/CSBP

xiatian815/DH-SNN

xiatian815/eeg-dementia-classification

xiatian815/FCSTGNN

xiatian815/fMRI_FeaturesDisorders

Code and data for "Extracting interpretable signatures of whole-brain dynamics through systematic comparison"

xiatian815/FourierGNN

Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"

xiatian815/google-research

Google Research

xiatian815/GPT4TS_Adapter

xiatian815/hurst

Hurst exponent evaluation and R/S-analysis in Python

xiatian815/Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

xiatian815/iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting".

xiatian815/medical-data

xiatian815/NeurIPS2023-One-Fits-All

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

xiatian815/pykoopman

A package for computing data-driven approximations to the Koopman operator.

xiatian815/reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

xiatian815/simplified_transformers

xiatian815/spatially-embedded-RNN

Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.

xiatian815/stable-diffusion

A latent text-to-image diffusion model

xiatian815/TIGON

xiatian815/TimeMixer

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

xiatian815/transformer-models

Deep Learning Transformer models in MATLAB

xiatian815/TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

xiatian815/U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

xiatian815/unconditional-time-series-diffusion

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

xiatian815/ViTST

[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."