ericagol Goto Github PK
Name: Eric Agol
Type: User
Company: University of Washington
Bio: Astronomy Professor
Location: Seattle, WA, USA
Name: Eric Agol
Type: User
Company: University of Washington
Bio: Astronomy Professor
Location: Seattle, WA, USA
Lab section for a course on Gaussian process regression
Gaussian processes in TensorFlow
Tutorials and information on the Julia language for MIT numerical-computation courses.
MCMC inference in Julia
Look Ahead Hamiltonian Monte Carlo
A Julia wrapper of the l-bfgs-b fortran library
Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients using the stellar atmosphere spectrum library by Husser et al. (2013). Described in Parviainen & Aigrain, MNRAS 453, 3821–3826 (2015).
Sparse Least Squares Optimization
A beautiful package for Kepler/K2/TESS data analysis in Python.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
Some notes about MCMC
Markov Chain Monte Carlo convergence diagnostics in Julia
N-body integrator computes derivatives with respect to initial conditions for TTVs, RV, Photodynamics & more
A simulator for N-body problems, including astrophysical and molecular dynamics
Nested Sampling algorithms for Julia
Package to call the NLopt nonlinear-optimization library from the Julia language
A No-U-Turn Sampler (NUTS) Implementation in Julia
Optimization functions for Julia
Single transit events in Kepler
Fast complex polynomial root finder, with support for arbitrary precision calculations
Polynomial manipulations
Visualization of Julia profiling data
A multi-planet Radial Velocity and Transit fit software
Fast and easy transit light curve modeling using Python and Fortran.
A Julia module with quaternion and dual-quaternion functionality
Reverse Mode Automatic Differentiation for Julia
Reverse automated differentiation from source
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.