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/FlexCode
Implementation of Flexible Conditional Density Estimator
ZuoMatthew/neural-interaction-detection
Detecting Statistical Interactions from Neural Network Weights
ZuoMatthew/active-semi-supervised-clustering
Active semi-supervised clustering algorithms for scikit-learn
ZuoMatthew/dagoba
A basic in memory Graph DB built using Python
ZuoMatthew/pidforest
Code for the PIDForest algorithm for anomaly detection
ZuoMatthew/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
ZuoMatthew/bayesianRuleSet
Using Bayesian inference to mine rule sets
ZuoMatthew/multioutput-gbm
Multioutput histogram based gradient boosting
ZuoMatthew/cqr
Conformalized Quantile Regression
ZuoMatthew/sparsity
Sparse data processing toolbox. It builds on top of pandas and scipy to provide DataFrame like API to work with sparse data.
ZuoMatthew/numpy-ml
Machine learning models, implemented in numpy
ZuoMatthew/creme
:loop: Incremental machine learning in Python
ZuoMatthew/pcalg
CPDAG Estimation using PC-Algorithm
ZuoMatthew/numbagg
Fast N-dimensional aggregation functions with Numba
ZuoMatthew/lihang-code
《统计学习方法》的代码实现
ZuoMatthew/pyFTS
A open source library for Fuzzy Time Series in Python
ZuoMatthew/kneed
Knee point detection in Python
ZuoMatthew/em
Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
ZuoMatthew/uplift
ZuoMatthew/pybnl
python interface to bnlearn and other probabilistic graphical model libraries
ZuoMatthew/helit
My machine learning/computer vision library for all of my recent papers, plus algorithms that I just like.
ZuoMatthew/causalgraphicalmodels
Causal Graphical Models in Python
ZuoMatthew/h5pyd
h5py distributed - Python client library for HDF Rest API
ZuoMatthew/tstables
A Python package to store time series data in HDF5 files using PyTables
ZuoMatthew/kenchi
A set of python modules for anomaly detection
ZuoMatthew/transfer_entropy
TE between two time series implementation in python
ZuoMatthew/dtaidistance
Time series distances: Dynamic Time Warping (DTW)
ZuoMatthew/eForest
This is the official implementation for the paper 'AutoEncoder by Forest'
ZuoMatthew/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
ZuoMatthew/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.