This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

基于uni-app、openlayers、geoserver的移动一张图项目

TeamTalk is a solution for enterprise IM

这是我维护的蘑菇街TeamTalk源码版本。

团队协作沟通软件，打算做成开源免费的钉钉/飞书，预期使用5年时间完成这个巨大的目标。

This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"

code for our paper "STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction"

Granger-Geweke causality: Estimation and interpretation

Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable

Trustworthy AI related projects

Causal Inference for Time Series Data (with CausalML Demo)

My implement of PC-Algorithm which is used to estimate causal graph from observation data.

A causal discovery method with CNN(for pairwise labels)

This repository includes supplementary material to the manuscript Ghasempour, Moosavi and de Luna (2023, Convolutional neural networks for valid and efficient causal inference).

ArcGIS built-in python raster functions for deep learning to get you started fast.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

[SIGSPATIAL '23] Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery (Best Paper Award)

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

Package implementing Convergent Cross Mapping for causality inference in dynamical systems

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"

Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlmann

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

An R package for causal inference in time series

implementation segmentation of urban areas using road network 自动生成自然街区（交通小区）

A project assessing suitability of random forests for Local Climate Zone classification in Hong Kong.

JinYongLegend-like RPG Game Framework with full Modding support and 10+ hours playable samples of game.

这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码