tailhq / PlasmaML
Machine Learning tools for Space Weather and Plasma Physics
☆17Updated 2 years ago
Alternatives and similar repositories for PlasmaML:
Users that are interested in PlasmaML are comparing it to the libraries listed below
- Alchemist: an Apache Spark<->MPI interface☆26Updated 6 years ago
- Scientific-Computing-with-Scala_Code☆16Updated last year
- TF-Tile: an efficient sparse representation for real-valued data☆13Updated last year
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Code and links to the data for the article "Machine Learning Pipelines with Modern Big DataTools for High Energy Physics"☆29Updated 7 months ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆13Updated 5 years ago
- Performance benchmarks of Python, Numpy, etc. vs. other languages such as Matlab, Julia, Fortran.☆28Updated 9 months ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 4 years ago
- Bibtex for various Python science and machine learning software☆32Updated 2 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- ML-based turbulence modeling for astrophysics☆13Updated last year
- python-based shapelet decomposition package☆26Updated 7 years ago
- Dynamic mode decomposition in Python☆13Updated 9 years ago
- A python wrapper for the PROPACK library☆51Updated 7 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 8 years ago
- ☆9Updated 6 years ago
- Moved to https://github.com/project-alchemist/Alchemist☆12Updated 6 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval☆11Updated 5 years ago
- doddle-model code examples☆19Updated 5 years ago
- Small examples showing how to use Odin for various IE tasks☆16Updated 7 years ago
- A small Python 3 library to train Self Organizing Maps and use them to classify patterns.☆22Updated 6 months ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Course material for Cornell CS 6241, Spring 21☆10Updated 3 years ago
- Tensor-based Spectral LDA on Spark☆18Updated 6 years ago
- Experimental Design for Gaussian Process Regression in Python☆12Updated 3 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago