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aff_eff_ppr

Shapley machine learning with aggregated datasets

attachment_covid

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

dagreducer

disentanglingsequences

Repo for the work on hierarchical state space models for disentanglement

dissimilarity_to_coords

A script that converts a square dissimilarity matrix into x-y coordinates, first by MDS, then by the eigen method.

emotvrater

Real-time emotion rating with video

freelunchsemiparametrics

generalizing_ifs

Influence Function work

groupkfold

sklearn's group kfold does not enable us to shuffle so I have rewritten one here

handwriting_data_generator

script to generate sequences of single character handwriting examples

lts

Listening Test Software

minsem

Graph reduction

missingness_dummy_coder

This function takes a pandas dataframe and a list of missing symbols and creates dummy variables with a missingess flag

ml_structural_interactions

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

nestedvae_release

Release for Nested VAE

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

psych_post_process

A collection of data post-processing tools for psychologists.

pyro

Deep universal probabilistic programming with Python and PyTorch

regression_pitfalls

A demonstration / discussion of the example given in Peters, Janzing and Scholkopf (2017) on estimating regression coefficients.

reproducibilitea

Presentation for University of Surrey's ReproducibiliTea discussion 20th Aug 2020

rf_optuna_nested_cv

Code for a random forest with optuna hyperparameter tuning in the first round of a nested cross-validation loop

rrg

A collection of resources for Replicability, Reproducibility, and Generalizability (RRG) issues across science.

semiparametrics_and_nns_release

Release code for experiments on influence functions with neural networks