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JavierAntoran
Bayesian-Neural-Networks JavierAntoran
299
1.8k
mit
27
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc mcmc sgld pytorch mc-dropout regression uncertainty deep-learning classification bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference reproducible-research variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick out-of-distribution-detection kronecker-factored-approximation
Created 2019-03-11
86 commits to master branch, last one 8 months ago
FranxYao
Deep-Generative-Models-for-Natural-Language-Processing FranxYao
33
392
unknown
22
DGMs for NLP. A roadmap.
mcmc parsing decoding language-model generative-text text-generation generative-model graphical-models generative-models normalizing-flows discrete-structures gradient-estimation approximate-inference structured-prediction variational-inference latent-variable-models markov-chain-monte-carlo variational-autoencoders natural-language-processing generative-adversarial-networks
Created 2019-04-09
191 commits to master branch, last one about a year ago
JuliaGaussianProcesses
Stheno.jl JuliaGaussianProcesses
26
336
other
13
Probabilistic Programming with Gaussian processes in Julia
machine-learning bayesian-inference gaussian-processes approximate-inference probabilistic-programming
Created 2017-08-15
482 commits to master branch, last one 8 months ago
joennlae
halutmatmul joennlae
12
205
mit
10
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
pytorch hardware maddness machine-learning approximate-inference hardware-acceleration
Created 2022-03-07
780 commits to master branch, last one 6 months ago
konstantinos-p
Bayesian-Neural-Networks-Reading-List konstantinos-p
2
39
unknown
2
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 ...
hmc mcmc sgld uncertainty deep-learning bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick kronecker-factored-approximation
Created 2023-01-16
18 commits to main branch, last one 7 months ago