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Name: Chris Martin
Type: User
Company: Chartboost
Location: San Francisco
Name: Chris Martin
Type: User
Company: Chartboost
Location: San Francisco
100 days of algorithms
Airflow mini project for Springboard
Apache Airflow tutorial
:bar_chart: Methods of Applied Statistics Course Textbook Repository
Bayesian Data Analysis course at Aalto
Bayesian Data Analysis demos for R
Build a Jekyll blog in minutes, without touching the command line.
Chemical Process Control
A Docker implementation of Celery running on Flask, managed with supervisord.
Work for courses taken at University of Chicago
Some CLV models
🧙🏾♂️ Complex Algorithms and Complexity Course from the University of San Diego
DBT Udemy course
My website
Distributed tasks with Celery and SQS
Django in AWS course
Django development course
Tutorials for getting the most out of Twitter data.
Lesson 2 tutorial: Versioning Data and Model for the ML REPA School course: Machine Learning experiments reproducibility and engineering with DVC
Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
Ailuropoda
Little scripts that do things
Pyspark course
Pyspark course using databricks
Datacamp python prework
Upper confidence bounds and Thompson sampling algorithms
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.