Pinned Repositories
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
ZuoMatthew's Repositories
ZuoMatthew/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.
ZuoMatthew/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
ZuoMatthew/causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
ZuoMatthew/causal-forest
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
ZuoMatthew/causal_shap_python
ZuoMatthew/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.
ZuoMatthew/diffi
Interpretation of Isolation Forests
ZuoMatthew/fastshap
An amortized approach for calculating local Shapley value explanations
ZuoMatthew/fuzzylogic
Fuzzy Logic and Fuzzy Inference for Python 3
ZuoMatthew/fylearn
Fuzzy machine learning algorithms implementing the scikit-learn interface.
ZuoMatthew/gaminet
Generalized additive model with pairwise interactions
ZuoMatthew/lazyarray
lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
ZuoMatthew/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
ZuoMatthew/node
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
ZuoMatthew/npy-append-array
Allows to create .npy files that are larger than the main memory
ZuoMatthew/numpy-groupies
Optimised tools for group-indexing operations: aggregated sum and more
ZuoMatthew/pandapy
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
ZuoMatthew/Polyfit
Scikit learn compatible constrained and robust polynomial regression in Python
ZuoMatthew/PRF
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
ZuoMatthew/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
ZuoMatthew/pythonbook
Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!
ZuoMatthew/RFCDE
Random Forests for Conditional Density Estimation
ZuoMatthew/shapley-regression
For calculating Shapley values via linear regression.
ZuoMatthew/simpful
A friendly python library for fuzzy logic reasoning
ZuoMatthew/sklearn-xarray
Metadata-aware machine learning.
ZuoMatthew/skmoefs
SK-MOEFS is a Python toolbox that enables data scientists to build, train, and evaluate Multi-Objective Evolutionary Fuzzy Systems
ZuoMatthew/ssi-forest
Semi-supervised isolation forest
ZuoMatthew/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
ZuoMatthew/uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
ZuoMatthew/xgboost-distribution
Probabilistic prediction with XGBoost.