simeoncarstens Goto Github PK
Name: Simeon Carstens
Type: User
Company: @tweag
Bio: Computational structural biologist turned data scientist.
Location: Paris
Blog: www.simeon-carstens.com
Name: Simeon Carstens
Type: User
Company: @tweag
Bio: Computational structural biologist turned data scientist.
Location: Paris
Blog: www.simeon-carstens.com
A Python library for Bayesian inference. Easily stitch together your posterior from components and sample from it using Gibbs sampling and Hamiltonian Monte Carlo (HMC)!
Code for the article "Bayesian inference of chromatin structure ensembles from population-averaged contact data" (PNAS, 2020)
TensorFlow Probability implementation of the model in Carstens et al., PNAS (2020)
A simple CLI tool to allow you to use Python "normally" in NixOS
Installs Nix on GitHub Actions for the supported platforms: Linux and macOS.
Serial cereals
A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.
Nix Packages collection
A toy infectious disease outbreak simulation
Pipeline results reporting package
Probabilistic reasoning and statistical analysis in TensorFlow
Probabilistic Numerics in Python.
A Python / MPI implementation of Replica Exchange (aka Parallel Tempering) which lets you run hundreds of replicas on a computing cluster.
Personal blog & website
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.