differential-machine-learning/notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
147 stars. No commits in the last 6 months.
Stars
147
Forks
56
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 05, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/differential-machine-learning/notebooks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks....
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
astro-informatics/harmonic
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow