LuX2001

MTGNN

STGCN

The PyTorch implementation of STGCN.

music2video

Making an AI-generated music video from any song with Wav2CLIP and VQGAN-CLIP

CCPD

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

vnpy

基于Python的开源量化交易平台开发框架

WinIT

Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"

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'.

awesome-multivariate-time-series-clustering-algorithms

This repo collects effective multivariate time series clustering codes.

time2feat

Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering

Time-series-classification-and-clustering-with-Reservoir-Computing

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

tslearn

The machine learning toolkit for time series analysis in Python

transformers-for-stock-price-prediction

awesome-graph-self-supervised-learning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

2024spring-cs410

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

mvts_transformer

Multivariate Time Series Transformer, public version

time-series-papers

An up-to-date list of time-series related papers in AI venues.

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.

DTML-pytorch

Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts

Stock-TFT

Stock price prediction using a Temporal Fusion Transformer

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

pytorch-forecasting

Time series forecasting with PyTorch

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.

TrendMaster

Using Transformer deep learning architecture to predict stock prices.

Stoch-predict-with-Tranformer-LSTM

stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM

DeepfakeTextDetection

Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

CLDA_NeurIPS21

MGTBench

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.