GitHub - enalisnick/paper_summaries: Summaries and minimal implementations of ML / statistics research articles.

Summaries and minimal implementations of ML / statistics research articles via Jupyter notebooks.

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
.gitignore		.gitignore
BackProp_Through_Mixture_Density.ipynb		BackProp_Through_Mixture_Density.ipynb
Beta_Divergence.ipynb		Beta_Divergence.ipynb
LICENSE		LICENSE
Learning_Model_Reparametrizations.ipynb		Learning_Model_Reparametrizations.ipynb
Mondrian_Processes.ipynb		Mondrian_Processes.ipynb
NN_multi.png		NN_multi.png
NN_percep.png		NN_percep.png
NN_single.png		NN_single.png
OperatorVI.ipynb		OperatorVI.ipynb
README.md		README.md
Stein_Variational_Gradient_Descent.ipynb		Stein_Variational_Gradient_Descent.ipynb
Volume_Sampling_for_LR.ipynb		Volume_Sampling_for_LR.ipynb
bruno_for_exchangeable_data.ipynb		bruno_for_exchangeable_data.ipynb
generative_models_w_Sinkhorn_div.ipynb		generative_models_w_Sinkhorn_div.ipynb
perturbative_BBVI.ipynb		perturbative_BBVI.ipynb
stein_mixtures.ipynb		stein_mixtures.ipynb
strange_flows.ipynb		strange_flows.ipynb

enalisnick/paper_summaries