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/ma2-csai-probabilistic-programming
Inference for Statistical Relational Learning
ZuoMatthew/PRMLT
Matlab code for machine learning algorithms in book PRML
ZuoMatthew/Practical_RL
A course in reinforcement learning in the wild
ZuoMatthew/nameko
Python framework for building microservices
ZuoMatthew/word2gm
Word to Gaussian Mixture Model
ZuoMatthew/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
ZuoMatthew/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
ZuoMatthew/UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks
ZuoMatthew/PRML
PRML algorithms implemented in Python
ZuoMatthew/mdlp-discretization
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
ZuoMatthew/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
ZuoMatthew/skggm
Scikit-learn compatible estimation of general graphical models
ZuoMatthew/BayesianNetwork
Bayesian Network Modeling and Analysis
ZuoMatthew/tutmom
Tutorial on "Modern Optimization Methods in Python"
ZuoMatthew/pca-magic
PCA that iteratively replaces missing data
ZuoMatthew/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).
ZuoMatthew/igmm
Incremental Learning of Gaussian Mixture Models (IGMM)
ZuoMatthew/libpgm
A library for creating and using probabilistic graphical models
ZuoMatthew/U-net-for-density-estimation
ZuoMatthew/croniter
croniter is a python module to provide iteration for datetime object.
ZuoMatthew/FIGMN
Fast Incremental Gaussian Mixture Network
ZuoMatthew/distributed
Distributed computation in Python
ZuoMatthew/randomforest-density-python
Random Forests for Density Estimation in Python
ZuoMatthew/sklearnef
Decision forest extentions for sklearn.
ZuoMatthew/vecstack
Python package for stacking (machine learning technique)
ZuoMatthew/nameko-proxy
Standalone async proxy to communicate with Nameko microservices
ZuoMatthew/flask-nameko
A wrapper for using nameko services with Flask
ZuoMatthew/AdaptiveHybridRS
An adaptive hybrid recommender system using kernel density estimation to help resolve the cold start problem.
ZuoMatthew/nameko-extras
Nameko run with autoloading, logging file CLI option
ZuoMatthew/python-patterns
A collection of design patterns/idioms in Python