adrn / cython-tutorialLinks
Tutorial on how to use Cython to optimize Python code.
☆63Updated 3 years ago
Alternatives and similar repositories for cython-tutorial
Users that are interested in cython-tutorial are comparing it to the libraries listed below
Sorting:
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆52Updated 4 years ago
- Clustering with variational Bayes and population Monte Carlo☆49Updated 10 months ago
- Machine learning and statistics for physicists☆97Updated 4 years ago
- A common interface to processing pools.☆119Updated last month
- Fit models to your data in Python with Sherpa.☆157Updated last week
- Source for my paper, Understanding the Lomb-Scargle Periodogram☆85Updated 3 years ago
- Generate a dendrogram from a dataset☆44Updated 3 weeks ago
- General tools for Astronomical Time Series in Python☆87Updated last year
- ☆21Updated 5 years ago
- PyAutoFit: Classy Probabilistic Programming☆64Updated 2 weeks ago
- 1st ASTERICS-OBELICS International School☆16Updated 2 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated 2 years ago
- Material for the SciPy 2017 Cython tutorial☆143Updated 8 years ago
- Some notes about MCMC☆44Updated 7 years ago
- Source for our paper on multiband periodograms.☆32Updated 6 years ago
- chapters of a book Hogg will never write☆90Updated 6 months ago
- Kernel Density Estimation and (re)sampling☆61Updated 2 years ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆41Updated 9 months ago
- Py-SPHViewer is a framework for rendering cosmological simulations in Python using the Smoothed Particle Hydrodynamics scheme.☆77Updated 4 months ago
- fast algorithm to do statistics on big data☆37Updated 5 years ago
- Gammapy-related meetings (but also other topics!)☆11Updated this week
- Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.☆203Updated 6 months ago
- Principal Component Analysis (PCA) for Missing and/or Noisy Data☆81Updated 8 years ago
- MCMC sample analysis, kernel densities, plotting, and GUI☆165Updated this week
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆185Updated last week
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆102Updated 2 years ago
- Repository for original *Fall 2016* PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University☆20Updated 6 years ago