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Name: Mark Llorente
Type: User
Company: @gSchool
Bio: Materials science PhD and regenerative economics/ecology researcher. Data Scientist.
Location: San Francisco
Name: Mark Llorente
Type: User
Company: @gSchool
Bio: Materials science PhD and regenerative economics/ecology researcher. Data Scientist.
Location: San Francisco
automated scripting through gmail API to help manage organization emails
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
COCO API - Dataset @ http://cocodataset.org/
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
attempting to run a variation on genre predicting neural net architectures on canonical genre data from gtzan
Using Gmail API and Python to read mail messages
Containerized and Script-controlled JupyterLab Project Environment
used openly available data from kaggle to create an interpretable model for housing based on location and other house features.
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
An implementation of LDA-based Recommender System
Code for generating pairs of students. Currently has bugs when incorporating odd numbers of students.
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 ;)
Attempting to cluster and track what is discussed primarily in top journals and conventions through abstracts vs what is described in news articles.
Using the Taken's embedding theorem to estimate the causality between variables. Based on Sugihara et al (2012) - Detecting Causality in Complex Ecosystems.
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
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.