DUNCode for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Stars: ✭ 65 (-9.72%)
Mutual labels: variational-inference, bayesian-neural-networks
noisy-K-FACNatural Gradient, Variational Inference
Stars: ✭ 29 (-59.72%)
Mutual labels: variational-inference, bayesian-neural-networks
BayesByHypernetCode for the paper Implicit Weight Uncertainty in Neural Networks
Stars: ✭ 63 (-12.5%)
Mutual labels: variational-inference, bayesian-neural-networks
artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
Stars: ✭ 40 (-44.44%)
Mutual labels: variational-inference, bayesian-neural-networks
pytorch ardPytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
Stars: ✭ 76 (+5.56%)
Mutual labels: bayesian-neural-networks
SafeAIReusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras
Stars: ✭ 13 (-81.94%)
Mutual labels: bayesian-neural-networks
VINFRepository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
Stars: ✭ 23 (-68.06%)
Mutual labels: variational-inference
SelSumAbstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Stars: ✭ 36 (-50%)
Mutual labels: variational-inference
UString[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation
Stars: ✭ 38 (-47.22%)
Mutual labels: bayesian-neural-networks
BayesianNeuralNetsBayesian neural networks in PyTorch
Stars: ✭ 17 (-76.39%)
Mutual labels: bayesian-neural-networks
LoL-Match-PredictionWin probability predictions for League of Legends matches using neural networks
Stars: ✭ 34 (-52.78%)
Mutual labels: dropout
active-inferenceA toy model of Friston's active inference in Tensorflow
Stars: ✭ 36 (-50%)
Mutual labels: variational-inference
PyLDAA Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (-29.17%)
Mutual labels: variational-inference
prosperA Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
Stars: ✭ 17 (-76.39%)
Mutual labels: variational-inference
adaptive-f-divergenceA tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
Stars: ✭ 20 (-72.22%)
Mutual labels: variational-inference
ReactiveMP.jlJulia package for automatic Bayesian inference on a factor graph with reactive message passing
Stars: ✭ 58 (-19.44%)
Mutual labels: variational-inference
haskell-vaeLearning about Haskell with Variational Autoencoders
Stars: ✭ 18 (-75%)
Mutual labels: variational-inference
deep-active-inference-mcDeep active inference agents using Monte-Carlo methods
Stars: ✭ 41 (-43.06%)
Mutual labels: variational-inference
