pnkraemer Goto Github PK
Name: Nicholas Krämer
Type: User
Bio: Numerics of machine learning, and a healthy dose of figure-making.
Twitter: pnkraemer
Location: Copenhagen
Blog: pnkraemer.github.io
Name: Nicholas Krämer
Type: User
Bio: Numerics of machine learning, and a healthy dose of figure-making.
Twitter: pnkraemer
Location: Copenhagen
Blog: pnkraemer.github.io
JAX - A curated list of resources https://github.com/google/jax
A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.
Differentiable likelihoods for fast inversion of likelihood-free dynamical systems
A small collection of python-scripts associated with Gaussian process emulators in Bayesian inverse problems
H2Lib public repository
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Matrix-free linear algebra in JAX.
Webpage
Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and custom information operators. Compatible with the broader JAX scientific computing ecosystem.
Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and with out-of-the-box uncertainty quantification.
Probabilistic Numerics in Python.
Evaluate probabilistic numerical algorithms.
Tutorial materials of the Probabilistic Numerics Spring School.
Probabilistic ODE Solvers via Bayesian Filtering and Smoothing
Positive semi-definite matrix types in Julia
A small collection of functions associated with radial basis function interpolation and collocation
Tutorials and sampling algorithm comparisons
Algorithms for computations on random manifolds made easier
Probabilistic ODE solvers are fun, but are they fast?
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
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.