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AnyTalker: Scaling Multi-person Talking Video Generation with Interactivity Refinement
Implementations of RHSIC and RKCIT of ``Extracting Rare Dependence Patterns via Adaptive Sample Reweighting'', ICML 2025.
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
Causal discovery algorithms and tools for implementing new ones
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
[NeurIPS'22] Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
Kaggle's Causality Challenge Solution for team FirfiD
Code for the paper "Unpaired Multi-Domain Causal Representation Learning", published at NeurIPS 2023.
Code for the paper "Contrastive Learning Inverts the Data Generating Process".
Code for CRATE (Coding RAte reduction TransformEr).
Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlmann
Python package for causal discovery based on LiNGAM.
Machine Learning and Artificial Intelligence for Medicine.
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Distributional Random Forests (Cevid et al., 2020)
Interactive Markov-chain Monte Carlo Javascript demos
Makes algorithms/code in Tetrad available in Python via JPype
The collection of recent papers about variational inference
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记