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cambridge-mlg
DUN cambridge-mlg
11
72
mit
8
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
pytorch robustness uncertainty learnt-depth deep-learning network-depths neural-networks machine-learning bayesian-inference reproducible-paper reproducible-research variational-inference bayesian-deep-learning probabilistic-inference bayesian-neural-networks expectation-maximization neural-architecture-search uncertainty-quantification uncertainty-neural-networks probabilistic-neural-network
Created 2020-06-12
7 commits to master branch, last one 3 years ago
Frightera
Sample-Machine-Learning-Projects Frightera
6
37
unknown
2
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
bert cifar-10 covid-19 resnet50 word2vec wordtovec autoencoder deep-ensemble neural-network tensorflow-hub ensemble-learning transfer-learning ensemble-classifier nlp-machine-learning random-forest-classifier natural-language-processing neural-network-from-scratch probabilistic-neural-network generative-adversarial-network
Created 2021-01-29
42 commits to master branch, last one 2 years ago