Highlights
- Pro
Starred repositories
difference imaging for space-based transit observations
Note on how many samples are needed for Monte-Carlo integration in population models.
A JAX-based gaussian process structure learning package for time series modelling.
Benchmark Blackjax samplers on Inference Gym models
G-code generator for 3D printers (Bambu, Prusa, Voron, VzBot, RatRig, Creality, etc.)
饕餮:A curated collection of resources for astrophysical research
A 15TB Collection of Physics Simulation Datasets
Fusion360 script for creating Cycloidal Drive sketch
epaillas / sunbird
Forked from florpi/sunbirdCOsmOlogical inference with dEnsity Split cluStering
JAX Tutorial notebooks : basics, crash & tips, usage of optax/JaxOptim/Numpyro
An open-source, lightweight note-taking solution. The pain-less way to create your meaningful notes. Your Notes, Your Way.
This is a community-driven collection of resources around amortized inference.
Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
Python implementation of smooth optimal transport.
Community-sourced list of papers and resources on neural simulation-based inference.
Curated list of astronomy/astrophysics code packages using JAX
Sliced Iterative Normalizing Flow with Minimal Dependencies
Create web-based user interfaces with Python. The nice way.
All Algorithms implemented in Python
Interactive notebooks for graduate course in galaxies.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.