Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
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Jul 31, 2022 - Python
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bayesian-neural-network
Here are 18 public repositories matching this topic...
This is a PyTorch implementation of a Bayesian Convolutional Neural Network (BCNN) for Semantic Scene Completion on the SUNCG dataset. Given a depth image the network outputs a semantic segmentation and entropy score in 3D voxel format.
deep-neural-networks deep-learning cnn semantic-segmentation bayesian-neural-network semantic-scene-completion
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Mar 30, 2023 - Python
Tutorials in various concepts related to deep learning
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Mar 5, 2021 - Jupyter Notebook
Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant
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Jan 12, 2021 - Python
Bayesian deep learning experiments
deep-learning jupyter-notebook pytorch dropout vi experiments reproducibility mcmc convolutional-neural-network variational-inference hmc pyro bayesian-deep-learning monte-carlo-dropout bayesian-neural-network bayesian-dl-experiments
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Jul 6, 2020 - Jupyter Notebook
[NeurIPS'23] Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
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Nov 22, 2023 - Python
An experimental Python package for learning Bayesian Neural Network.
deep-learning pytorch vi variational-inference hmc hamiltonian-monte-carlo pyro bayesian-deep-learning mc-dropout monte-carlo-dropout bayesian-neural-network
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Jul 6, 2020 - Python
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
uncertainty-quantification uncertainty-estimation fairness imbalanced-learning bayesian-deep-learning bayesian-neural-network imbalanced-regression
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Apr 6, 2024 - Python
deep-learning tensorflow high-energy-physics particle-physics uncertainty-quantification bayesian-deep-learning tensorflow-probability bayesian-neural-network
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Mar 24, 2023 - Jupyter Notebook
Model which can predict COVID-19 positive case from axial lung CT-scan images.
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May 1, 2023 - Jupyter Notebook
(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
deep-learning keras jupyter-notebook dropout reproducibility bayesian-deep-learning mc-dropout monte-carlo-dropout bayesian-neural-network
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Feb 26, 2020 - Jupyter Notebook
My attempt at SAiDL's 2022 Spring Assignment
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Feb 19, 2022 - Jupyter Notebook
Binary and multiclass comparison of Bayesian Neural Network and Simple Neural Network
machine-learning neural-network probabilistic-programming neuralnetwork binary-classification multi-class-classification bayesian-neural-network
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Jan 18, 2020 - Jupyter Notebook
Task in belong laboratory (related: https://github.com/chiru1221/LabStudyTask2020)
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May 21, 2021 - Python
Deep Generative Bayesian Network
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Jun 23, 2023 - Jupyter Notebook
AI Repository
simulation differential-equations variational-inference bayesian-neural-network mcmc-sampling probabilistic-modelling
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Nov 6, 2022 - Jupyter Notebook
Bayesian neural networks in PyTorch
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Nov 25, 2024 - Python
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