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Name: Marc
Type: User
Company: Google
Bio: Data Scientist -- Research (@Google)
Location: California
Name: Marc
Type: User
Company: Google
Bio: Data Scientist -- Research (@Google)
Location: California
An awesome list of high-quality open datasets in public domains (on-going).
:vs: A research tool to run Iterated Prisoner's Dilemma tournaments
A repository of example Jupyter notebooks
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
GA Data Science NYC #23
General Assembly's Data Science course in Washington, DC
Python package for information theory.
Data Science and Machine Learning resources, a curated list
Computational methods for exact and approximate computations of stationary distributions and entropy rates of Markov process, particularly those common in evolutionary dynamics.
Mathematical modelling of Magic the Gathering
Bayesian inference for relative fitness in birth-death processes.
Fixation probabilities calculations and figures.
:bar_chart: The statistical analysis tool for git repositories
A research paper on intergenerational trauma
Our Practice repository
Prisoner's dilemma inference code example
A repo to generate axelrod tournaments
:twisted_rightwards_arrows: Markov process simulator, creates sample trajectories from a transition graph for a Markov process.
Phenotype sequencing modeling and nextgen sequencing data analysis
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Computes trajectories for evolutionary dynamics.
A primer for data science tools in Python
Course materials for teaching data visualization in Python.
:small_red_triangle: Ternary plotting library for python with matplotlib
A conda-smithy repository for python-ternary.
Jupyter Notebooks for the Python Data Science Handbook
:repeat: Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other processes, exact (when possible) and approximate computations
A repository to run the whole suite of strategies in the Axelrod library
Python parsing for Wikipedia XML
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.