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alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

anogan-keras

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causalinference

Causal Inference in Python

causalml

Uplift modeling and causal inference with machine learning algorithms

cfrnet

Counterfactual Regression

classification_models

Classification models trained on ImageNet. Keras.

clust

Automatic and optimised consensus clustering of one or more heterogeneous datasets

cluster_ensembles

A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.

consensus_clustering

contextualbandits

Python implementations of contextual bandits algorithms

cs231n_17_kor_sub

CS231N 2017 video subtitles translation project for Korean Computer Science students

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

drsa

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling.

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

emnlp22-re3-story-generation

ensemble-clustering

fairness-indicators

Tensorflow's Fairness Evaluation and Visualization Toolkit

gpt2-finetuned-medium

hnatt

Train and visualize Hierarchical Attention Networks

idtxl

islr-with-python

Introduction to Statistical Learning with R을 Python으로

jidt

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

ml_feature_importance_methods

Python implementations of partial dependence plots and permutation importance

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers