Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
MIT License
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Python framework for inference in Hawkes processes.
Random feature latent variable models in Python
Provide an input CSV and a target field to predict, generate a model + code to run it.
Interpretable neural spike train models with fully-Bayesian inference algorithms
Spiky networks
Example Multilevel Model in PyMC
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galax...
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgk...
UNKNOWN
Machine learning, in numpy
convenient python functions for bayesian GLMs (using Stan / PyStan)