pmelchior / ml-for-the-sciencesLinks
Material for the "ML for the Sciences" meeting at Princeton University
☆55Updated 5 years ago
Alternatives and similar repositories for ml-for-the-sciences
Users that are interested in ml-for-the-sciences are comparing it to the libraries listed below
Sorting:
- Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics☆116Updated 8 months ago
- Simulation-based (likelihood-free) inference customized for astronomical applications☆29Updated 9 months ago
- ASTR 598: Astro-statistics and Machine Learning☆41Updated 7 years ago
- Souce code for our ARA&A review of Gaussian process regression for astronomical time-series☆33Updated 5 months ago
- Lectures for the 2019 Kavli Summer Program in Astrophysics☆17Updated 5 years ago
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆107Updated last week
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated 4 months ago
- resources for transitioning from academic astronomy to industry data science☆49Updated 4 years ago
- ☆21Updated 5 years ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆87Updated 2 weeks ago
- Spring 2021 course materials for ASTR 8070: Astrostatistics☆29Updated 4 years ago
- chapters of a book Hogg will never write☆90Updated 7 months ago
- CPU/GPU agnostic gravitational-wave population inference☆50Updated last month
- Robust ML in Astro☆62Updated last month
- ☆16Updated 4 years ago
- Differentiable Stellar Population Synthesis☆29Updated last month
- Corner plots, LaTeX tables and plotting walks.☆86Updated last month
- Materials for a mini-course on code development and packaging☆23Updated 6 months ago
- ☆29Updated last month
- A Python library for performing galaxy cluster mass reconstruction from weak lensing observables☆26Updated last week
- A parallel-tempered version of emcee.☆60Updated 2 years ago
- Combines Bayesian analyses from many datasets.☆23Updated last year
- Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)☆43Updated 2 years ago
- Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation☆24Updated 5 months ago
- ☆26Updated 6 years ago
- ☆13Updated 2 years ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆40Updated last month
- A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!☆43Updated this week
- PyAutoFit: Classy Probabilistic Programming☆64Updated this week
- Libraries to analyze numerical simulations☆42Updated 4 years ago