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awesome-normalizing-flows

Awesome resources on normalizing flows.

covid19_country_comparison

A basic app to compare John-Hopkins data on per-capita basis and in terms of doubling rate.

datavis

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

jammy_flows

A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.

lightning

Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

mc_uncertainty

A repository that implements various methods to include the sample uncertainty from having a finite number of Monte Carlo events.

optimization_base

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

refextract

Extract bibliographic references from (High-Energy Physics) articles.

tensorboard

TensorFlow's Visualization Toolkit - with parameter regexes