LuX2001's Stars
vnpy/vnpy
基于Python的开源量化交易平台开发框架
kernc/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
detectRecog/CCPD
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
qingsongedu/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.
nnzhan/MTGNN
gzerveas/mvts_transformer
Multivariate Time Series Transformer, public version
hazdzz/STGCN
The PyTorch implementation of STGCN.
xiyuanzh/time-series-papers
An up-to-date list of time-series related papers in AI venues.
FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
joeljang/music2video
Making an AI-generated music video from any song with Wav2CLIP and VQGAN-CLIP
gangweiX/Stoch-predict-with-Tranformer-LSTM
stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
NLP2CT/LLM-generated-Text-Detection
A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.
xinleihe/MGTBench
SJTU-Quant/MASTER
This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.
hemangjoshi37a/TrendMaster
Using Transformer deep learning architecture to predict stock prices.
Soham-Deshpande/Stock-TFT
Stock price prediction using a Temporal Fusion Transformer
JonathanCrabbe/Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
hawemily/transformers-for-stock-price-prediction
jmpu/DeepfakeTextDetection
Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"
layer6ai-labs/WinIT
Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
simonjisu/DTML-pytorch
Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
lzz19980125/awesome-multivariate-time-series-clustering-algorithms
This repo collects effective multivariate time series clustering codes.
softlab-unimore/time2feat
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering
Griffintaur/CLDA_NeurIPS21
GMyhf/2024spring-cs410