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NanoAOD boosted higgs analysis package
A beautiful, simple, clean, and responsive Jekyll theme for academics
farakiko / boostedhiggs
Forked from cmantill/boostedhiggsNanoAOD boosted higgs analysis package
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Notebooks about Bayesian methods for machine learning
torch-optimizer -- collection of optimizers for Pytorch
Probabilistic reasoning and statistical analysis in TensorFlow
Variational Autoencoder for Particle Physics using Earth-Movers Distance
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Machine Learning for LHC physics analyses
This project implements random forests and gradient boosted decision trees (GBDT). The latter uses gradient tree boosting. Both use ensemble learning to produce ensembles of decision trees (that is…