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Active semi-supervised clustering algorithms for scikit-learn
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.
An adaptive hybrid recommender system using kernel density estimation to help resolve the cold start problem.
A series of DAGs/Workflows to help maintain the operation of Airflow
A repository with IPython notebooks of algorithms implemented in Python.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
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).
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql
Bayesian Network Modeling and Analysis
Using Bayesian inference to mine rule sets
Bayesian Ontology Reasoner
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Graphical Models in Python
Kaggle cause-effect software
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.
We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
A compound word splitter for Python
Programmatically create Conda environments
Conformalized Quantile Regression
:loop: Incremental machine learning in Python
croniter is a python module to provide iteration for datetime object.
A basic in memory Graph DB built using Python
Density Estimation via Bayesian Sequential Partitioning
Interpretation of Isolation Forests
Distributed computation in Python
Time series distances: Dynamic Time Warping (DTW)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.