jiwoncpark / deep-learning-notebooks
Tutorials in various concepts related to deep learning
☆11Updated 3 years ago
Alternatives and similar repositories for deep-learning-notebooks:
Users that are interested in deep-learning-notebooks are comparing it to the libraries listed below
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆31Updated 5 years ago
- PyAutoFit: Classy Probabilistic Programming☆62Updated this week
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆14Updated 2 years ago
- ☆22Updated 5 years ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆17Updated 2 years ago
- Deep learning strong lens finder☆24Updated 6 years ago
- Lectures on Bayesian statistics and information theory☆31Updated 3 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Lecture and project materials for MACSS2021☆11Updated 3 years ago
- Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)☆29Updated 4 years ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Data Release for the Machine Learning based Search for Binary Neutron Star Mergers☆11Updated 4 years ago
- Material for the "ML for the Sciences" meeting at Princeton University☆51Updated 5 years ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆50Updated last year
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 4 years ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆34Updated 3 weeks ago
- An experiment: emcee implemented in JAX☆25Updated 2 years ago
- Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University, Fall 2018☆9Updated 6 years ago
- ☆16Updated 4 years ago
- Investigating the noise residuals around the gravitational wave event GW150914☆12Updated 5 years ago
- A pipeline for versatile strong lens sample simulations☆28Updated 6 months ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆12Updated last year
- This is the material (slides + notebook) used to give the MCMC class in Hogg's Computational Data Analytics class at Flatiron CCA on 3/29…☆11Updated 4 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated 9 months ago
- Tools for analyzing galaxy clusters.☆23Updated 5 years ago
- Michigan summer school materials☆14Updated 4 years ago
- Materials for the Mini Summer School in Machine Learning x Astro taught at CCA in Summer '19☆17Updated 4 years ago