Matthew Vowels

Awesome-VAEs. A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Awesome_ML_for_mental_health. A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.

Awesome-Causal-Inference. A curated list of awesome work on causal inference, particularly in machine learning.

Awesome-Video-Generation. A curated list of awesome work on video generation and video representation learning, and related topics.

DisentanglingSequences. Repo for the work on hierarchical state space models for disentanglement

SLEM. SLEM: Super Learning Equation Modeling for General Causal Inference with DAGs

SpectralAnalysisTutorial. A tutorial on spectral analysis for psychologists and social scientists.

CUSOCausality. 16 hour course on causality and machine learning

Causal_Transformer. CaT - Causal Transformer

DAG_Sampler. Samples DAGs, converts them to 'canonical form', and checks for other isomorphic samples

TLPython. Targeted Learning for Binary and Categorical Treatment

causalPipeline. A collection of causal resources for psychologists and social scientists

TVAE_release. TVAE release version

ML_structural_interactions. This notebook demonstrates the interactions (or lack thereof) between machine learning models and data-generating structures

emotvrater. Real-time emotion rating with video

Typicality. Jupyter Notebook

semiparametrics_and_NNs_release. Release code for experiments on influence functions with neural networks

FreeLunchSemiParametrics. Jupyter Notebook