Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, yo…

LeetCode Problems' Solutions

Codes used in "Innovative mathematical modelling for hierarchical optimisation in kidney exchange programmes"

FinRL: Financial Reinforcement Learning. 🔥

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

Probabilistic time series modeling in Python

Implementation of Graph Convolutional Networks in TensorFlow

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Time series forecasting with PyTorch

The public CGAL repository, see the README below

Easily install and load packages from the tidyverse

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"

Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)

Official mirror of Blender

SwinIR: Image Restoration Using Swin Transformer (official repository)

TensorFlow code and pre-trained models for BERT

📑 A list of awesome learning-based multi-view stereo papers

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

A scalable, distributed Time Series Database.

Blender addons to make the bridge between Blender and geographic data

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

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforce…

proof of concept for a transformer-based time series prediction model

基于Python的开源量化交易平台开发框架

Python Backtesting library for trading strategies