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A Python library that helps data scientists to infer causation rather than observing correlation.
Hierarchical topic models for sparse count data with CorEx.
Exercises for the Deep Learning textbook at www.deeplearningbook.org
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Topic Modelling for Humans
Example IPython notebooks for MSI
:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Palmetto is a quality measuring tool for topics
Python interface for https://github.com/AKSW/Palmetto
Exercises for my tutorials on Theano
Computation of the semantic interpretability of topics produced by topic models.
A Topic Modeling algorithm that extracts the core topics from a text corpus. Implements the algorithm described in R. S. Randhawa, P. Jain, and G. Madan, Topic Modeling Using Distributed Word Embeddings, http://arxiv.org/abs/1603.04747
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
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.