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bayes-nn

Lecture notes on Bayesian deep learning

bayesbyhypernet_pytorch

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesian_neural_network_papers

Papers for Bayesian-NN

bayesiancnn

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gat et al. 2015

bcdu-net

BCDU-Net : Medical Image Segmentation

bcnn

3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793

bdcn

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bdl-reading-list

Bayesian Deep Learning

beal

code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

beamertheme

Define a simple beamer theme

benchmarking-gnns

Repository for benchmarking graph neural networks

bfp

Boundary-Aware Feature Propagation for Scene Segmentation (ICCV2019)

bgadl

Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).

bi-gconv

BMVC 2021 Oral: code for BI-GCN: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation

biblosa-pytorch

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

bigbatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

biva-pytorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

blinear-cnn-faster

A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

blockcopy-video-processing-pytorch

BlockCopy (ICCV2021) implementation in PyTorch, accelerating neural networks with block-sparse execution

bnn-for-uncertainty-estimation-of-imaging-biomarkers

m-project to n-dataset-setup to train 4 diff. bayesian NNs on 3 different datasets to estimate the effect of inclusion of uncertainty in post-analysis.

bootmae

ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining

boundary-guided-context-aggregation

Code for BMVC2021 paper "Boundary Guided Context Aggregation for Semantic Segmentation"

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

brats18-challege

Multimodal Brain Tumor Segmentation Challenge 2018

brats2019