kronecker-factored-approximation topic
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kronecker-factored-approximation repositories
Bayesian-Neural-Networks
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Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
pytorch-a2c-ppo-acktr-gail
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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR)...
Bayesian-Neural-Networks-Reading-List
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A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More...