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Top 11 bayesian-deep-learning open source projects
SuperNNova
Open Source Photometric classification https://supernnova.readthedocs.io
✭ 18
python
deep-learning
pandas
pytorch
recurrent-neural-networks
reproducible-science
cosmology
arxiv
bayesian-statistics
bayesian-neural-networks
bayesian-deep-learning
supernova
ocbnn-public
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
✭ 31
python
paper
bnns
bayesian-neural-networks
bayesian-deep-learning
oc-bnn
INFO320
Neural Networks and Bayesian Learning
✭ 24
Jupyter Notebook
neural-networks
bayesian-deep-learning
bayesian-models
approximate-bayesian-inference
pyro-ppl
CADA
Attending to Discriminative Certainty for Domain Adaptation
✭ 17
lua
shell
cvpr
adversarial-learning
domain-adaptation
bayesian-deep-learning
unsupervised-domain-adaptation
TransMorph Transformer for Medical Image Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
✭ 130
python
Jupyter Notebook
deep-learning
transformer
diffeomorphism
image-registration
bayesian-deep-learning
image-alignment
vision-transformer
swin-transformer
DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
✭ 65
Jupyter Notebook
python
machine-learning
deep-learning
reproducible-research
pytorch
uncertainty
neural-networks
expectation-maximization
uncertainty-neural-networks
bayesian-inference
uncertainty-quantification
variational-inference
bayesian-neural-networks
robustness
neural-architecture-search
bayesian-deep-learning
probabilistic-inference
reproducible-paper
probabilistic-neural-network
learnt-depth
network-depths
Structured-Bayesian-Pruning-pytorch
pytorch implementation of Structured Bayesian Pruning
✭ 18
python
model-compression
bayesian-deep-learning
deep-weight-prior
The Deep Weight Prior, ICLR 2019
✭ 42
Jupyter Notebook
python
iclr
bayesian-deep-learning
prior-knowledge
Dropout BBalpha
Implementations of the ICML 2017 paper (with Yarin Gal)
✭ 40
python
deep-learning
bayesian
bayesian-deep-learning
approximate-inference
spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
✭ 68
python
Jupyter Notebook
neural-network
pytorch
uncertainty
uncertainty-quantification
uncertainty-estimation
bayesian-neural-networks
robustness
bayesian-deep-learning
pytorch-convcnp
A PyTorch Implementation of Convolutional Conditional Neural Process.
✭ 41
Jupyter Notebook
python
pytorch
deeplearning
bayesian-deep-learning
pytorch-implementation
deep-generative-models
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bayesian-deep-learning projects