pyvarinf

Bayesian DL tool

A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

GitHub

359 stars
11 watching
50 forks
Language: Python
last commit: almost 7 years ago
Linked from 3 awesome lists

bayesian-inferencedeep-learning

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
kaiyangzhou/dassl.pytorchA PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.1,236
pyg-team/pytorch-frameA deep learning framework for handling heterogeneous tabular data with diverse column types582
zhanghang1989/pytorch-encodingA Python framework for building deep learning models with optimized encoding layers and batch normalization.2,044
dmarnerides/pydltA PyTorch-based toolbox for building and training deep learning models with ease.204
ptrblck/prog_gans_pytorch_inferenceReproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot322
donnyyou/pytorchcvA PyTorch-based framework for building and training deep learning models in computer vision.47
eladhoffer/convnet.pytorchA PyTorch implementation of various deep convolutional networks for efficient training and evaluation on diverse datasets.347
wlwkgus/noisynaturalgradientPyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks121
eduardoleao052/js-pytorchA JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers.1,093
jacobgil/pytorch-pruningThis project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference.877
bloodaxe/pytorch-toolbeltA comprehensive Python library with PyTorch extensions for rapid prototyping and machine learning model development.1,523
maxsklar/bayespyA Python library for Bayesian inference and multinomial mixture modeling108
wizaron/pytorch-cpp-inferenceA repository providing tools and examples to serve PyTorch models as C++ inference applications.226
stepelu/ptstatA PyTorch-based implementation of probabilistic programming and statistical inference tools110
erotemic/netharnA PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments.40