ascend2018

V1-Attention-Pytorch

covid_impact_stocks_volatility

Financial Big Data (FIN-525) final project: The Impact of COVID-19 on Returns and Volatility: a case study of the United States, China, Switzerland and Japan

GNNPapers

Must-read papers on graph neural networks (GNN)

Informer2020

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

lvvd

Listed Volatility and Variance Derivatives (Wiley Finance)

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformer-all-in-one

AiLearning-Theory-Applying

快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

DCRNN_PyTorch_Highway

A deep neural network model using GRU-based RNN architecture called DCRNN for the big graph problem of traffic forecasting using PyTorch

DSANet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

Exploring-Volatility

One of my assignments in school. My group and I explored different methods to measure volatility (Using daily data, monthly data, etc), as well as different time-series models for fitting and predicting volatility.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Forecasting-Tutorials

GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

google-research

Google Research

large-language-models

Notebooks for Large Language Models (LLMs) Specialization

llm-foundation-models

london_bike_forecast

Graph convolutional neural network for forecasting traffic in the London bike-share system, where the graph convolutions pass spatial information between stations, and one-dimensional convolutions pass information from past traffic.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

TFT

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

V1-Machine-Learning

Code for Machine Learning for Algorithmic Trading, 2nd edition.

VaR-Measurement-Using-Stochastic-Volatility-Model-in-2020

VisualDL

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

WZU-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）