Pinned Repositories
Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Awesome-Video-Generation
A curated list of awesome work on video generation and video representation learning, and related topics.
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.
causalPipeline
A collection of causal resources for psychologists and social scientists
CUSOCausality
16 hour course on causality and machine learning
DAG_Sampler
Samples DAGs, converts them to 'canonical form', and checks for other isomorphic samples
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.
matthewvowels1's Repositories
matthewvowels1/RF_optuna_nested_CV
Code for a random forest with optuna hyperparameter tuning in the first round of a nested cross-validation loop
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
matthewvowels1/TargetedLearningTutorial
This is a Python replication of 'Targeted Maximum Likelihood Estimation for a Binary Outcome: Tutorial and Guided Implementation' by Miguel Angel Luque Fernandez
matthewvowels1/missingness_dummy_coder
This function takes a pandas dataframe and a list of missing symbols and creates dummy variables with a missingess flag
matthewvowels1/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
matthewvowels1/Awesome-Causal-Inference
A curated list of awesome work on causal inference, particularly in machine learning.
matthewvowels1/DisentanglingSequences
Repo for the work on hierarchical state space models for disentanglement
matthewvowels1/stats-with-python
Learning statistics with Python
matthewvowels1/SpectralAnalysisTutorial
A tutorial on spectral analysis for psychologists and social scientists.
matthewvowels1/RRG
A collection of resources for Replicability, Reproducibility, and Generalizability (RRG) issues across science.
matthewvowels1/pyro
Deep universal probabilistic programming with Python and PyTorch
matthewvowels1/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.
matthewvowels1/Awesome-Video-Generation
A curated list of awesome work on video generation and video representation learning, and related topics.
matthewvowels1/ReproducibiliTea
Presentation for University of Surrey's ReproducibiliTea discussion 20th Aug 2020
matthewvowels1/Spectral_analysis_workshop
Spectral analysis workshop materials
matthewvowels1/dissimilarity_to_coords
A script that converts a square dissimilarity matrix into x-y coordinates, first by MDS, then by the eigen method.
matthewvowels1/regression_pitfalls
A demonstration / discussion of the example given in Peters, Janzing and Scholkopf (2017) on estimating regression coefficients.
matthewvowels1/handWriting_data_generator
script to generate sequences of single character handwriting examples
matthewvowels1/VAE_tensorflow
Variational autoencoder in Tensorflow