zuomatthew Goto Github PK

active-semi-supervised-clustering

Active semi-supervised clustering algorithms for scikit-learn

acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

adaptivehybridrs

An adaptive hybrid recommender system using kernel density estimation to help resolve the cold start problem.

airflow-maintenance-dags

A series of DAGs/Workflows to help maintain the operation of Airflow

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

application-of-transfer-entropy-to-assess-causality-in-metabolomic-networks

My third research project at the Centre for Computation, Mathematics and Physics in the Life Sciences and Experimental Biology at University College London (UCL CoMPLEX).

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-postgres

A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql

bayesiannetwork

Bayesian Network Modeling and Analysis

bayesianruleset

Using Bayesian inference to mine rule sets

born

Bayesian Ontology Reasoner

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

causal-forest

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

causal_shap_python

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalgraphicalmodels

Causal Graphical Models in Python

cause-effect

Kaggle cause-effect software

cga2m_plus

CGA2M_plus is a Python package of Constraint GA2M plus(CGA2M+), which we proposed. CGA2M+ is a model that improves GA2M in two respects: interpretability and accuracy.

compound-word-splitter

A compound word splitter for Python

condacreate

Programmatically create Conda environments

cqr

Conformalized Quantile Regression

creme

:loop: Incremental machine learning in Python

croniter

croniter is a python module to provide iteration for datetime object.

dagoba

A basic in memory Graph DB built using Python

de_bsp

Density Estimation via Bayesian Sequential Partitioning

diffi

Interpretation of Isolation Forests

distributed

Distributed computation in Python

dtaidistance

Time series distances: Dynamic Time Warping (DTW)

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'