dfm / tf-tutorial
A non-traditional TensorFlow tutorial
☆49Updated 4 years ago
Alternatives and similar repositories for tf-tutorial
Users that are interested in tf-tutorial are comparing it to the libraries listed below
Sorting:
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- ☆16Updated 4 years ago
- DEPRECATED: use dfm/emcee version 3 instead☆21Updated 5 years ago
- Source for our paper on multiband periodograms.☆32Updated 5 years ago
- chapters of a book Hogg will never write☆90Updated 4 months ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Materials for the Wednesday Afternoon Machine Learning workshop☆18Updated 9 years ago
- Materials for the 2016 Astro Hack Week☆24Updated 8 years ago
- Diffusive Nested Sampling☆69Updated 6 months ago
- Some notes about MCMC☆44Updated 7 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆184Updated 2 weeks ago
- Generate latex + bibtex citation commands by looking at what packages are imported☆49Updated 4 years ago
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆51Updated 4 years ago
- Pippi: parse it, plot it. A program for operating on MCMC chains and related lists of samples from a function or distribution.☆11Updated 3 months ago
- Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press☆47Updated 2 years ago
- A tool for creating catterplots in Python with matplotlib☆53Updated 3 years ago
- Pythonic Nested Sampling Development Framework & UltraNest☆8Updated 6 years ago
- General tools for Astronomical Time Series in Python☆86Updated last year
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- PyMC Extras extracted from the "exoplanet" library☆19Updated 2 months ago
- Materials for the 2017 Astro Hack Week☆32Updated 3 years ago
- Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python☆80Updated 6 years ago
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆40Updated 7 months ago
- Materials for the 2015 Astro Hack Week☆34Updated 9 years ago
- resources for transitioning from academic astronomy to industry data science☆49Updated 4 years ago
- An alternative to MCMC for rapid analysis of models☆46Updated 3 years ago
- Python MCMC Sampler☆33Updated 2 months ago